diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..52373fe24473b1aa44333d318f578ae6bf04b49b 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c7328e81db97fb7fd5f300c32a7409e75a48561d --- /dev/null +++ b/README.md @@ -0,0 +1,80 @@ +--- +license: gemma +library_name: transformers +pipeline_tag: text-generation +base_model: google/gemma-2-27b-it +tags: +- alignment-handbook +- generated_from_trainer +--- + +# gemma-2-27b-it-SimPO-37K Model Card + +## Implementation Details +We first followed the [SimPO](https://github.com/princeton-nlp/SimPO) framework to apply [On-Policy Preference Data Generation](https://github.com/princeton-nlp/SimPO/tree/main/on_policy_data_gen) on the [HuggingFaceH4/ultrafeedback_binarized](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized) dataset using the [google/gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) model. We then selected prompts where the chosen reward was at least 0.01 higher than the rejected reward, resulting in 37,040 training data points. + +Model training was conducted using 8x80G A800 GPUs, leveraging the [alignment-handbook](https://github.com/huggingface/alignment-handbook) library. We used `deepspeed_zero_stage3` with optimizer offloading to the CPU. The `SimPOTrainer` arguments were as follows: + +```bash +# SimPOTrainer arguments +bf16: true +beta: 10 +gamma_beta_ratio: 0.5 +gradient_accumulation_steps: 8 +gradient_checkpointing: true +gradient_checkpointing_kwargs: + use_reentrant: true +hub_model_id: simpo-exps +learning_rate: 8.0e-7 +log_level: info +logging_steps: 1 +lr_scheduler_type: cosine +max_length: 2048 +max_prompt_length: 1800 +num_train_epochs: 1 +optim: adamw_torch +output_dir: outputs/gemma-2-27b-it-SimPO +run_name: gemma-2-27b-it-SimPO +per_device_train_batch_size: 2 +push_to_hub: false +save_strategy: "steps" +save_steps: 100 +save_total_limit: 20 +seed: 42 +warmup_ratio: 0.1 +save_only_model: true +``` + +## Citation + +gemma model: +``` +@article{gemma_2024, + title={Gemma}, + url={https://www.kaggle.com/m/3301}, + DOI={10.34740/KAGGLE/M/3301}, + publisher={Kaggle}, + author={Gemma Team}, + year={2024} +} +``` + +SimPO paper: +``` +@article{meng2024simpo, + title={{SimPO}: Simple preference optimization with a reference-free reward}, + author={Meng, Yu and Xia, Mengzhou and Chen, Danqi}, + journal={arXiv preprint arXiv:2405.14734}, + year={2024} +} +``` + +UltraFeedback paper: +``` +@article{cui2023ultrafeedback, + title={{UltraFeedback}: Boosting language models with high-quality feedback}, + author={Cui, Ganqu and Yuan, Lifan and Ding, Ning and Yao, Guanming and Zhu, Wei and Ni, Yuan and Xie, Guotong and Liu, Zhiyuan and Sun, Maosong}, + journal={arXiv preprint arXiv:2310.01377}, + year={2023} +} +``` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000000000000000000000000000000000000..edfa5fd1792b4c0f88ce907ccc3e112a8d555834 --- /dev/null +++ b/config.json @@ -0,0 +1,45 @@ +{ + "_name_or_path": "google/gemma-2-27b-it", + "architectures": [ + "Gemma2ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "attn_logit_softcapping": 50.0, + "bos_token_id": 2, + "cache_implementation": "hybrid", + "eos_token_id": 1, + "final_logit_softcapping": 30.0, + "head_dim": 128, + "hidden_act": "gelu_pytorch_tanh", + "hidden_activation": "gelu_pytorch_tanh", + "hidden_size": 4608, + "initializer_range": 0.02, + "intermediate_size": 36864, + "max_position_embeddings": 8192, + "model_type": "gemma2", + "num_attention_heads": 32, + "num_hidden_layers": 46, + "num_key_value_heads": 16, + "pad_token_id": 0, + "query_pre_attn_scalar": 144, + "rms_norm_eps": 1e-06, + "rope_theta": 10000.0, + "sliding_window": 4096, + "sliding_window_size": 4096, + "torch_dtype": "bfloat16", + "transformers_version": "4.43.3", + "use_cache": true, + "vocab_size": 256000, + "quantization_config": { + "quant_method": "exl2", + "version": "0.2.0", + "bits": 5.5, + "head_bits": 6, + "calibration": { + "rows": 115, + "length": 2048, + "dataset": "(default)" + } + } +} \ No newline at end of file diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..0d660156eb0501c5e36751b0102c6a245b03a508 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,8 @@ +{ + "_from_model_config": true, + "bos_token_id": 2, + "cache_implementation": "hybrid", + "eos_token_id": 1, + "pad_token_id": 0, + "transformers_version": "4.43.3" +} diff --git a/measurement.json b/measurement.json new file mode 100644 index 0000000000000000000000000000000000000000..bf99ffb2621f3e3f61dae6e076987727c6f3b15d --- /dev/null +++ b/measurement.json @@ -0,0 +1,89753 @@ +{ + "measurement": { + "model.layers.0.self_attn": [ + { + "accuracy": 0.9679246387983623, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9693159711988348, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9696658912457918, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9722164430116352, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9823313669154519, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.98480518868095, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9835709364790666, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9861503180704618, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9820262287792406, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9823061368967357, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9902304128596657, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9877304591630635, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9883431541292291, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908013939857483, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954801982170657, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959991197837027, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957131594419479, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964602048459806, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989180455082342, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.0.mlp": [ + { + "accuracy": 0.9492201177697432, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9507619581724468, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9643322511723167, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9702100094996, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9746798496497305, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9775527715682983, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9831829871001997, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9859996987016577, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9881198908153334, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9873035550117493, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9893336178440797, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9935516581723565, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9946899841490545, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963271731608793, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967881660712393, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981750877279985, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989657903972425, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.1.self_attn": [ + { + "accuracy": 0.9933291540334099, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939346756590041, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9943604657524511, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959399366849347, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970024761400724, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970709742291978, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979645349085331, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980337719776129, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998202204116081, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983226398104116, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985260476211184, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986219794342392, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986565558141783, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998782169269888, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992561024172526, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993832243704482, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999466394515414, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996378347277641, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9998444885775251, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.1.mlp": [ + { + "accuracy": 0.9874946051522305, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.988175389798064, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9899580470825496, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906945989320153, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.993862573253481, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9944699383095691, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9952350929379463, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964274387610587, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968580536936459, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968723207712173, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973119448282217, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984123881318068, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986695618809838, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990414600623282, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992118508211876, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993937575797501, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9997296035044679, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.2.self_attn": [ + { + "accuracy": 0.9910715332156733, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9922044143864983, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.993122587078496, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9951937645673752, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964992368691846, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9965735113150195, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977037867433146, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977599488277185, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979669255645651, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981043801495904, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982163127707807, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984178470545694, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984412007033825, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985845271301897, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991459505338418, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992907450681454, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994102647822154, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995909156522861, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9998197181542453, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.2.mlp": [ + { + "accuracy": 0.9851636196437635, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9860844910144806, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9879865301282782, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9886271404592615, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9930807853999891, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939238017326907, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9945934199188885, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960996112541148, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966370000651008, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964752663907251, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970598618843054, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982185659832076, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985443726181984, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989208225160837, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991135501155728, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992919865211374, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996918309970122, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.3.self_attn": [ + { + "accuracy": 0.9931975195282384, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.993748947585884, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9944208836869189, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959654600212449, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966657695017362, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996702792220994, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979739485210494, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980041555276042, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982033803274757, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983257427811623, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983377307653427, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984658751636744, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998598501086235, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987277737573573, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999218752999839, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993580972873851, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999471438803563, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996521799138894, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9998594336089139, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.3.mlp": [ + { + "accuracy": 0.9827762842178345, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9838634462733018, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9855187739196577, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.986432323330327, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925306078634764, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9932169529952501, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994111173639172, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9956986362996855, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962676143959949, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962121801156747, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967834098558677, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980714930907676, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998396693973949, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9988439831098443, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990487801597306, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992925777639213, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996630656287858, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.4.self_attn": [ + { + "accuracy": 0.9920459319102136, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9926672232778448, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9932402921350378, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954477356452691, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996103105184279, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9961384860308546, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977048755084214, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977460070268104, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979227010748888, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981075639003202, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980392301161038, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981826532043909, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982970288317454, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984542323570502, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990556789071936, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992213251657391, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994017786199325, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995802990405968, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9998422266523305, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.4.mlp": [ + { + "accuracy": 0.9842048632471185, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.984785363862389, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.986688820939315, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9875266222577346, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923274219036102, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9930477683481417, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9940213894373492, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957850630346098, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996329187954727, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960995171415178, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966771783013093, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980151608194175, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983396898759039, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9988725807909903, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.99900672829857, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992378269763369, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996818852071699, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.5.self_attn": [ + { + "accuracy": 0.987421840429306, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9885970612889842, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.989521302674946, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9909349319181944, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9940081877928031, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9941699438189205, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949395319348887, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9951979376767811, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9951733401731441, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959950251014609, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969651318694416, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973124195086328, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973390198459751, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975956852890944, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984515151499134, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998730572332677, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986567058061299, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989846684038639, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996341971288386, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.5.mlp": [ + { + "accuracy": 0.9833183696395472, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9839208973081488, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.985742228595834, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9864296081819033, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9922172544818175, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9930102731052198, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939435343993338, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9958140795168123, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964186984457468, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9961199803571952, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967173490869371, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980348329010763, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983683181436438, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989124492399002, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990127783660826, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992415812356692, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996991263653495, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.6.self_attn": [ + { + "accuracy": 0.9900792068556735, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9911646764529379, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9918294439190313, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938774422595376, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953607677629119, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954583535068914, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9965899143564073, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967112305917238, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997115465959436, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9972635025256559, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977443277051574, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980481466964671, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980652596997587, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981669469883567, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9988061720995527, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999064043556389, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990178951503415, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993855977725041, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9997330250120476, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.6.mlp": [ + { + "accuracy": 0.9828243663436488, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9835014923622734, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9853437197835822, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9860168052347082, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992311702747094, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9929827239952589, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939598413674455, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959040805697441, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964375786091152, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996145782502074, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967140176970708, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980456593789553, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983686429301375, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989166780325928, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990138610530841, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992348065011596, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9997047009191623, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.7.self_attn": [ + { + "accuracy": 0.9864736638571087, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9874264417510283, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9881492610040464, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903493617710314, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9932425320148468, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9933158567077235, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9950640205489961, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995140865445137, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955371186921471, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9961020503389207, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966542297287991, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968961951764006, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996993603674989, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997264391105426, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983326600570428, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986304394704731, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987425811000561, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990861078626231, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996298800075525, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.7.mlp": [ + { + "accuracy": 0.982567730702852, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9836741827036205, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9858528955986625, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9866471070992319, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992232053687698, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9930216128888883, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9940445266271892, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957120328357345, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996330619642609, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960942174258985, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967314477421736, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980162009596825, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983760822368296, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9988612651236748, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989976836858612, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999259484196572, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996856455936244, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.8.self_attn": [ + { + "accuracy": 0.9889604770823529, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9900238890396921, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908180134861093, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9928172152293356, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9947529948855701, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948362951215944, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9965802133083344, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966503381729126, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968833084169187, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971348839370828, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973183044869649, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975447242981509, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976783994781343, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997868621231694, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987283100030924, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989257670546833, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991132555235374, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993741206432644, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9997335279262379, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.8.mlp": [ + { + "accuracy": 0.9792597450708088, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9800213261654502, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9822338097973874, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9830519258975983, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903232706220526, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9912461167887637, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923782293733797, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994826963073329, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954955954300729, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995121281790106, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9958574881679133, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975131418752042, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979390580403177, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986252563172265, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987469844912228, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990063794937573, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996231836511901, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.9.self_attn": [ + { + "accuracy": 0.9799965886693252, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9811303490086606, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9828984376631285, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9863901091249365, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990341305732727, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9902950564497396, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9930855882795233, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9931748470193461, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938154832312935, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942657331887045, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949564204404229, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953923201874683, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954711688976539, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996050947983014, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975190207754311, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980407308198904, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981158891398656, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998762204654907, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994679779108417, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.9.mlp": [ + { + "accuracy": 0.9688678854390195, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9702925587955274, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9737937920971921, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9749977761193326, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9848374002858212, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9870739759583222, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9884784480458811, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9916480191444096, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.993151359652218, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9922882161642376, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938888581175553, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960902737159478, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969323830384957, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977702796459198, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980196129334601, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986067437811902, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993638145296198, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.10.self_attn": [ + { + "accuracy": 0.9803892044644607, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9820783797063326, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9835745362859023, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.987818220728322, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9904358379150692, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9907076484278629, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9934185170813611, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.993731312061611, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9943654941100823, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994720025674293, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9952792580190458, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9956656345411351, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9958013425532141, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962943180611259, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977411974809671, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998124534166173, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983525021295798, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9988940290518498, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995011421116559, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.10.mlp": [ + { + "accuracy": 0.972567755925028, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9736055919998571, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9770074235765558, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9781005931527991, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9870527386665344, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9884996704365078, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9898606703469628, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9932036666493667, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9941136978174511, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9934585859116755, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9945165965902177, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966644472197482, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9972708687970513, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981659446891985, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983064210728595, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986696694242326, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995029048111878, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.11.self_attn": [ + { + "accuracy": 0.9805530043024766, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9817157889667311, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9836013332793587, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9879424948441354, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9899298603597441, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9900592243985126, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9936294418416525, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9937162571831754, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9943341797119692, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994805235611765, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949609766665258, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953989668896324, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957417845726013, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962104856967926, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975916766806653, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980306041083837, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983134842232654, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989285754333985, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994848963167322, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.11.mlp": [ + { + "accuracy": 0.9810995255645952, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9817747708998228, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9836032359223617, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9843905426953968, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9902520783637699, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915690774980345, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923396322288012, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9945105541693536, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954693003704673, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9950297235658294, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959252362972811, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974813000544122, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979675372964457, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985576164173452, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987379836996919, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990220685538492, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995784807558122, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.12.self_attn": [ + { + "accuracy": 0.9804315268993378, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9816206254457173, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9826803474049819, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9857569744712428, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9905419514367455, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9907002268653167, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9930381610205299, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9932088687231666, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942948794678638, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994884503907279, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955395413072485, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995933716234408, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996155632561759, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964049058525186, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978592282063082, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981837747128386, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984729807627829, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998867974959706, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995412792226201, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.12.mlp": [ + { + "accuracy": 0.9784097326429266, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9791936905760514, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.981337286924061, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9820640118498551, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9899539445575914, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9909067985258604, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9919437130815104, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9947547677316164, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954067217676263, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949348027768888, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995683732001405, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997428930903736, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978608800784537, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986054608108181, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986962259403969, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989554499717135, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996250328166705, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.13.self_attn": [ + { + "accuracy": 0.9812929661650407, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9823624899512843, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9831174000313407, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9863804782691755, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9893467575311661, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9894311671194277, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9916705120550958, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.991833284497261, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9919643151132684, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9931261664942691, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948493614792824, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954480854304213, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954702328694495, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960696905067092, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974483726055998, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980047476526938, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980696431900326, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987643257175621, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999448080400103, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.13.mlp": [ + { + "accuracy": 0.972783016531091, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.974141349917964, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9763370642536565, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9769898386378038, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9884395026846936, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9895171515251461, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9905979256880911, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9941280194019017, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948731151066328, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942551223855269, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9951649535643426, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970868061247625, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976066882280927, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984278876922632, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985177174798752, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998819351392357, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995805910347324, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.14.self_attn": [ + { + "accuracy": 0.974574542359302, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9761798522974315, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9789555229638752, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9817084356358177, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9868729012577158, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9878333877576025, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9886540692103537, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9897078793299826, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9929761423876411, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9940446568162817, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9951067500208554, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955544197245648, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957321623438283, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964489054523016, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997683549593938, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981337256337467, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982970645161051, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987413977321825, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994827796656051, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.14.mlp": [ + { + "accuracy": 0.9738911735384088, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9750143916983354, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9778012256873282, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9786057582027033, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9881283570277063, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9893125091728411, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9905305136191217, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939024185663775, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.99464411366927, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994004855814733, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949554902942557, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969444680762919, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974859690195635, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983536275593858, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984428006175318, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987586295526278, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995606672018766, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.15.self_attn": [ + { + "accuracy": 0.9773157693837818, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9789490950734991, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9811622531790483, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9864272788951272, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9887388936783138, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9889126357279325, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9927268216484472, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9928394030583533, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9928796738386154, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939551184836187, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9943011089375144, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9947779006079623, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9950915912264272, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955581822677663, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973161218589858, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977537885700402, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981115303541485, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986787719750091, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994185878650138, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.15.mlp": [ + { + "accuracy": 0.9700404656560797, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9714820290866651, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9748353299341703, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9757669473949232, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9864221042708347, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9878454310329337, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9891651217874727, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9929510354995728, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938819110393524, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9931299451150393, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942915667044488, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964939049984279, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971489290657797, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980868461884951, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982136354634636, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986016103311589, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994923607201168, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.16.self_attn": [ + { + "accuracy": 0.9725208753033688, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9739721480168795, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9772726250322241, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9814795773280295, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.986566938852009, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9870469107439643, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903493829463658, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9907207614497134, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925673760865864, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9926517974389227, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9940029743470644, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994425717545183, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948436911953124, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9952443618523447, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971225665588128, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976319492255387, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978591807578739, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985220930293986, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993354393855521, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.16.mlp": [ + { + "accuracy": 0.9725474025073805, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9737056305533961, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9764376910109269, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.977130452269002, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9873429278009817, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9887498852453733, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9898541593237927, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9934601646504904, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942980957658667, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9936364869538107, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9946752143533606, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967611606575941, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973452208857787, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982303296656985, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983477263074172, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986441573618274, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995247407473231, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.17.self_attn": [ + { + "accuracy": 0.9751270131060952, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.976671869817533, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.978735266547454, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9837232169352079, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9876273392062438, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9880005905502721, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915001180611158, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9920441672990197, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9926175882941798, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992817117979652, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939702580633917, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9943693684119927, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.99477156526164, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953455901459644, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971370046076021, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976270883099029, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997982236311624, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985188921227267, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993826594007643, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.17.mlp": [ + { + "accuracy": 0.9690880336259541, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9703685390321832, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9730609059333801, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9738506910048033, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9856464047180978, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9872767988004183, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9885112353061375, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9926240969645349, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9935834846998516, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9927662861974615, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939941222730436, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963122888615257, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970013295349321, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979890924143163, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981181100010872, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984742701053619, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994660445341939, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.18.self_attn": [ + { + "accuracy": 0.9733990273977581, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9752821514480993, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9782144678266425, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9824697720377069, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9862781590537021, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9866715010843778, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9895672649145126, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9900057386410864, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9912082788191343, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9922526988543963, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.993915748439337, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9944034042327028, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948416391485616, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9952895064887247, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970953880172027, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974376292605149, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978057849956187, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983328331850077, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992942351259684, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.18.mlp": [ + { + "accuracy": 0.969491488055179, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9708474184337416, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9742694873558847, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9751110657265312, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9859595816386374, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9873562423806441, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9886393994092941, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9927738465760884, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9935355017844, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9929090699082926, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939784446829244, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996374880012713, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969993268972949, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980100087429348, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981478866385786, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998443914381297, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994703939086512, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.19.self_attn": [ + { + "accuracy": 0.9688522125545301, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9705351559739364, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.972299409540076, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9761747953138853, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9815358597981302, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9828543851250097, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9843304721932662, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9858473790319342, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9895243927052146, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925862464465594, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925047112138647, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939141759746953, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9940801729497156, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948959319215072, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967383309022376, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997351808179366, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975630668433089, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984545999843824, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992856006383112, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.19.mlp": [ + { + "accuracy": 0.9686383855970282, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9699512500511972, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9735390418454221, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9744453430175781, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9857769247732664, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.987088321070922, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9884204770389357, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9926653504371643, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9933970390181792, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992791055848724, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938380126106111, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963161753196466, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969228982533279, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979769858090501, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981171084862006, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984325462658155, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994671856984496, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.20.self_attn": [ + { + "accuracy": 0.9645880554851732, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9660979885804026, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9725478322882402, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9761295491143277, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9842458696741807, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9841189023695494, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9875199371262601, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9872188223035712, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9886298210997331, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9887222161418513, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.991770149845826, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925581467779059, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992644151574687, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938259705116874, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954540568747019, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966133138851115, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959439725468033, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975932852218026, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989844721398855, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.20.mlp": [ + { + "accuracy": 0.967947432869359, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9693560568909896, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9732190872493544, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9742442024381537, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9850224444740697, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9864344361581301, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9878573927440142, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9922156475092235, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9929727723723963, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992375636571332, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9934549633609621, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960870648685255, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967387985242041, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978366572605936, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979968649384222, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983002161116976, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9994223645251048, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.21.self_attn": [ + { + "accuracy": 0.9634505573071932, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9651582052833155, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9684664638418901, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9731121031861556, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9805104826626024, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9806856167943854, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9846450435487848, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.984664449566289, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9857156606096971, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9870267565313139, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903353452682495, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9912164979859402, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913171161162225, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9926461757797944, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954428641419661, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963749992220026, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.996354961081555, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997786889735021, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9988548582125651, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.21.mlp": [ + { + "accuracy": 0.9639500724641901, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9656386218572918, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9703263201211628, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9715233256942347, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9827127864486292, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.984526725191819, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9861382167590292, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908623562047356, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9917991875033629, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9911216740545473, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9924638992861697, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954533796561392, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962318680788341, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974338300526142, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976705251947829, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980476463311597, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993110987308779, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.22.self_attn": [ + { + "accuracy": 0.965267959393953, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9667911435428419, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9694506306397287, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9743742378134477, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9783439871511961, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9787019616679141, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9826448998953167, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9828391482955531, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9876389048601452, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9877086171978399, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9893246842058081, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906038045883179, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.99091821046252, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9917837381362915, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9940605038090756, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953581443742702, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9947682579881266, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9972451807636964, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983501475500433, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.22.mlp": [ + { + "accuracy": 0.9619810173386022, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9638202943299946, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.968821036188226, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9701119128026461, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9817257931357936, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9836026916378423, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9853125638083408, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903510934428165, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913012369682914, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906551696752247, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9920272764406706, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995201298672902, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960112771705577, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9972892134989563, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975417038719905, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979181903365412, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999273108416482, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.23.self_attn": [ + { + "accuracy": 0.9520912923310932, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9537484520360043, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9615497494998732, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9662516430804604, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9765847325325012, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9768452612977279, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.981740437055889, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9820253582377183, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9838438598733199, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9872704524742929, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9876104875614768, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9882477145445975, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9883520556123633, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9907146990299225, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9934177641805849, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949994200938627, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9943055247789935, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971566153200049, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981760304225119, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.23.mlp": [ + { + "accuracy": 0.9601889942821703, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9623238695295233, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9677878147677371, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9691652467376307, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9810648842861778, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.982928625847164, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9848047777226097, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9900267359457517, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9909404539748242, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903126994245931, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9917283293447996, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9950239246613101, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9958558964886164, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971943497657776, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974489219878849, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978336256585623, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999244504314112, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.24.self_attn": [ + { + "accuracy": 0.952791828858225, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9530804094515348, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9552645526434246, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9569880115358453, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9688863377822073, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9720428680118761, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9705654727785211, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.974154669987528, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9803687757567355, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9809087812900543, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.986788903412066, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908107809330288, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9889741688966751, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915397943634736, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9935060868922033, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953423707108748, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938851289058986, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968444785397303, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980359824472352, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.24.mlp": [ + { + "accuracy": 0.9605067466434679, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9626034749181647, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9680190902007253, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9695016396673102, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9809188983942333, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9827539105164377, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9847435841434881, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9898105569575962, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990744810355337, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9902302316929165, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.991603652897634, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949945250624105, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957985281944275, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971587742237669, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974492943208468, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978582904134926, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992310138615338, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.25.self_attn": [ + { + "accuracy": 0.96550305579838, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9666001514384621, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9704873216779608, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.974682153839814, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9815849834366849, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9818333669712669, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9845479962072874, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9848539060667941, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9840727793542963, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9853876609551279, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9909918967046236, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9911345274824845, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913030933392676, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9921469053155497, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948158730801783, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955524762994364, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953357443997735, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975715338399536, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998199504457022, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.25.mlp": [ + { + "accuracy": 0.9650254092718425, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9664536871408161, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9711290629286515, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.972550746641661, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9827308497930828, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9842482883679239, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9861498302535007, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908062447058527, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9916836580163554, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9911830480161467, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923579873223054, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955026542669848, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9961817793940243, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974916743996897, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997714492051225, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981090130382463, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993203404898706, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.26.self_attn": [ + { + "accuracy": 0.959944812875045, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9603685422947532, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9624848773604945, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9659771825137892, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9803458326741269, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9800020330830624, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9828329980373383, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9825435531766791, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9867627620697021, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9882853956598985, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9898054866414321, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9916770724873794, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906906360074094, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923110800354105, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9944029101415685, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959563985466957, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948363857049691, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977317766139382, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986217659162847, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.26.mlp": [ + { + "accuracy": 0.9642868700780367, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9657518895048844, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9703158642116346, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.971650989432084, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9823164783026043, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9839414389509904, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9857425360303176, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990614503622055, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.991481740223734, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9909255888901258, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9921718961314151, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995350547527012, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960784119995016, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973967149853706, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976327285954827, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979998073295543, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993018881466827, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.27.self_attn": [ + { + "accuracy": 0.9744012747940264, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9763592905119846, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9788786910082165, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9826959732331728, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9848081845986215, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9853791343538385, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9871647467738703, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.987905005091115, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990257873346931, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908823363090816, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9932894055780611, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9940115229079598, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939383597750413, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9945842160990364, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963757325159875, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969946300905002, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968526884913445, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984650418750549, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990634786847391, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.27.mlp": [ + { + "accuracy": 0.965812811726018, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.967235549500114, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9715161668626886, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9728912836626956, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9830058028823451, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.984479253229342, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9862577366201501, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908831056795622, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9917614538418619, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913030800066496, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992449477314949, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955534338951111, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962261370138118, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975133377470469, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977404381099501, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981092649855112, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993267140694355, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.28.self_attn": [ + { + "accuracy": 0.9735568322633442, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9748852566668862, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9786929158787978, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9826303594990781, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9862095086198104, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9861491416629992, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9894149844583712, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9892059211668215, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908030558573572, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9916720241308212, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9937447089897958, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942142955566707, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942972405176413, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949283670437964, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968336710804387, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974316833050627, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974976115320858, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986095168676815, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992012717810116, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.28.mlp": [ + { + "accuracy": 0.9621294172186601, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9638338528181377, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9686314400873686, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9701327022753263, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9813980977786215, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9829804081665842, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9849130244631517, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9900005687224237, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9909304560799348, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9904987066984177, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9917465777773606, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995153182823407, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9958798010882578, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997271217405796, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975399620046741, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979384337600908, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992501224440179, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.29.self_attn": [ + { + "accuracy": 0.9720931084532487, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9731570795962685, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9771469847152108, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9807538264676144, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9871773272752762, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9879262878706581, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906697547749469, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915745995546642, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9922629116397155, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9927034472164354, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9936069136387423, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9941323768151434, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9944909736514091, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9946377398936372, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964210242033005, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973092224252852, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969716897528422, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985663193817201, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991117795243075, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.29.mlp": [ + { + "accuracy": 0.963009093937121, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9645762819992869, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9691091493556374, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9707008255155463, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9816193188491621, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9831806468336206, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9851235088549162, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9900164980637399, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9909663890537462, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906200813619714, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.99183536673847, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995216230028554, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959259268484617, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9972935328750234, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975938151933645, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980026895278379, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992586971309624, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.30.self_attn": [ + { + "accuracy": 0.9680129070031016, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9738628785861166, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9778951845671001, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9816669994278958, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9854243585937902, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9858528265827581, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9877487679845408, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9882866316720059, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990557788234008, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915397135834945, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9930791188227502, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9937986680551579, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9935635006741473, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9945824659968677, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964993113749906, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970725902209157, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969797304978496, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998411448182244, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9990156719363049, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.30.mlp": [ + { + "accuracy": 0.9668845283357721, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9680469851744802, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.971482935704683, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9726496903519881, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9833735149157675, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9847561591549924, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9862334587072071, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9911354490016636, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9919600282844744, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915052370021218, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925900799663443, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9956660815759709, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963041881197378, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975979194829339, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978033753209993, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981038513544359, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993520409947163, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.31.self_attn": [ + { + "accuracy": 0.9758205492245523, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9765592546839463, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.980422307001917, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9831637646022596, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9864370462141538, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9872232636338786, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9881002761815724, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9891349673271179, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9910717324206704, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9921599038337406, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942546333921584, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994880630781776, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949122408502981, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9952639929558101, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969850933473361, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976100480478061, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973390849405214, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987825673857802, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992254258770692, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.31.mlp": [ + { + "accuracy": 0.9666665604240016, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9679619607172514, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9714701991332205, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9726381741072002, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9833172042118875, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9847183415764257, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9862055370682165, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9910928442289955, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9919167027661675, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9914782211968773, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925767426428042, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9956548782555681, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962954246684125, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975843457014937, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978015675748649, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981015889268172, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993497116099063, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.32.self_attn": [ + { + "accuracy": 0.9826031154707858, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9853318851245078, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9868942107024946, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9898514292742077, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9920606722957209, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923702925443649, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942254780938751, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9945987066940257, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995091324574069, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953946702574429, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9961070645796625, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963882118463516, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9965061172842979, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967995429117429, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980001247635013, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983682763811789, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.998431257707508, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999048313125968, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995907187265786, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.32.mlp": [ + { + "accuracy": 0.9668984820968226, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9681954352479232, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9717992450061598, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9729864346353632, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9834598585178977, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.984848461653057, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9863541502701608, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9911134172427026, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.991939788586215, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915603203208823, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9926416607279527, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957022215974959, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963325658126881, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975951970799973, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978316555681982, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981369874195049, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999356562712867, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.33.self_attn": [ + { + "accuracy": 0.9733471211634184, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9741688794211337, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9769036409101988, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9790984109828347, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9841525586027848, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9864641914242193, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9858297109603882, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9884298341838937, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9894172541405025, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9901138693094254, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942386279764929, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994893771253134, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948258298008066, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954445526788109, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971499995965707, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976711735913628, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975872724071929, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986797635884661, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999277901002451, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.33.mlp": [ + { + "accuracy": 0.9654515887561598, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9668884747906735, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9705818577816612, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.971715155400728, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9828058183193207, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9842529328245866, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9857274419382999, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908081198993482, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9916430327453112, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9912276464073282, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923497501172518, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955302935681845, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9961864756126153, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975051044633514, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977400740118403, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980325012614852, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.999335945436829, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.34.self_attn": [ + { + "accuracy": 0.9766218019159216, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9797827868085158, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.982432926955976, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9853069499919289, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9883146019358384, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.988520619900603, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9905352615996411, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9907832616253903, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923907510544124, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9929199728526568, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9944657632394841, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9950276574021891, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994875144409506, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955206325179652, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966482273057887, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976338530449491, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969593715903006, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987007059941166, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989352017445, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.34.mlp": [ + { + "accuracy": 0.9645402400117171, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9659499651507327, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9695830972571122, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9707124390100178, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9822748993572435, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9837817392851177, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9852534061984012, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9904972589329669, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913689172581622, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990939136398466, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9921155234700755, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953854060486743, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960666706687525, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974154108449033, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976701103150845, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997959085789166, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993034499256235, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.35.self_attn": [ + { + "accuracy": 0.9735283318318819, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9783947154095298, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9820093277253603, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9841694596566652, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9882124678084725, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.988369912693375, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9898629486560822, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9900302220331995, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9914808406641609, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923141261464671, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949517889242423, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953389716775793, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953109284764842, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957394333262193, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9971336657671552, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978317332110906, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974387021441209, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987908495884192, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991813904948925, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.35.mlp": [ + { + "accuracy": 0.9644169587838023, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9658130909267225, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.969273190749319, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9703686300076937, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9821633586758062, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9836801070916025, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9850855626558003, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990414568468144, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913033882254049, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908752951182818, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9920658422143835, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953474590652868, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960396427072977, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997390991174861, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976520889291638, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979298308883843, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992992420141634, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.36.self_attn": [ + { + "accuracy": 0.9681325994039837, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9731326197323046, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9777909987851193, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9812200618417639, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9856749286777094, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9859783821984341, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9880712855803339, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9884323352261594, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.989696625031923, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990140267108616, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9928732961416245, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9934539618460756, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9935685094249876, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9941760462365652, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9958999741234278, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968117404925195, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962333280004954, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983080480443803, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985354085894007, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.36.mlp": [ + { + "accuracy": 0.9647787338808963, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9660241164659199, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9691378442864669, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9702746366199694, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9822920921601748, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9837763732985446, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9851297877336803, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9904556360683943, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913614470707742, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9909540642248956, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9921148466436487, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953889725239653, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9960649519374496, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974173038805786, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976723186279598, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979461053092229, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992912882252744, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.37.self_attn": [ + { + "accuracy": 0.9698626148073297, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9739748913990823, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9770806071005369, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9794964460950148, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.985694911919142, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9858393026025671, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9873431183789906, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9875496861181761, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9894861304446271, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9901176016581686, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9928127339011744, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938162827962324, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9932409658243782, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9943189836646381, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955141716881802, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969300561045346, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995772981329968, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983245550017608, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986137625222143, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.37.mlp": [ + { + "accuracy": 0.9657109160172312, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9671125537470767, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9698987383591501, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9709423905924747, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9827611258155421, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9842710667534879, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9854683734868702, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906204272257654, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915096571570948, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9911720407636542, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9923561333041442, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955025409397326, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9961811558980691, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974419143246976, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977349856574285, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979787890456224, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992869833582326, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.38.self_attn": [ + { + "accuracy": 0.9670722421846891, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9738859722488805, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9777873048656865, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9799030423164368, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9853857912515339, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.985201275662372, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.986705869436264, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.986434679282339, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9884212942499864, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9893792201029626, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9929607400768682, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9938410771520514, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9934192903731999, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942243228617468, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957047442072317, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970099576993993, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995916159529435, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983421017072702, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9988519054298338, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.38.mlp": [ + { + "accuracy": 0.9665172696113586, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9678834206179568, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9705153578206113, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9714811977587248, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9831607592733282, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9846445823970594, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9857563015661741, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990859570471864, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9917190780765132, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913942696232545, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925308353022525, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9956112205982208, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962680218251128, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975048809459335, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977830362163091, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980060895414729, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993031665584758, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.39.self_attn": [ + { + "accuracy": 0.9564330828817267, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9663209162260357, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9694151031343561, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9736821902425665, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.982497607406817, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9824860095977783, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9854874265821356, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9854151277165664, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9871271762408709, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9866762725930465, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915034770965576, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9920950673128429, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9920356446190884, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9929244024188895, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9952950497206888, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962638647932756, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9958119404159094, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979852577181239, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984960020764878, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.39.mlp": [ + { + "accuracy": 0.9667503394578633, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9682437589294032, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9708047728789481, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9718016605628165, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9831323388375734, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9847121003427004, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9858558146577132, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908013516350797, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9916576233349348, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.991323249904733, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992532414825339, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955598382573378, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962600842118263, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974378190542522, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9977528448951872, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979816969288023, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992745145665187, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.40.self_attn": [ + { + "accuracy": 0.9685017623399433, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.973957011574193, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9785670543971815, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9821114555785531, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9864380453762255, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9873142979646984, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9886509352608731, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9895974389816585, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9908940494060516, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9916502433387857, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.993620549769778, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942248694990811, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9941762179920548, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9946973123832753, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9962542507993547, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973540706069846, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9966387454616396, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9984665578721386, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991201118222977, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.40.mlp": [ + { + "accuracy": 0.9671883488956251, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9687841942435816, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9709836307324862, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9719331891913163, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9832249362217752, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9849621794725719, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.985930544765372, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906867075907556, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915906088916879, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9913307153864911, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9926369770577079, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9955412176878828, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963028866209482, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973420912497922, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.997751667311317, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979457321919893, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992325391228262, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.41.self_attn": [ + { + "accuracy": 0.9589682660604778, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.960897169615093, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9650093348402726, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9729721452060499, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9776533873457658, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9777604027798301, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9834886852063631, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9835247648389716, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9851238978536505, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9871561048846496, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9886627863896521, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9895444371198353, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9900695963909751, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990907484763547, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9941517914596357, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995134700285761, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9950868291290182, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9972133471777564, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982397119073492, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.41.mlp": [ + { + "accuracy": 0.9672799737829911, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9689828408391852, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9715198843102706, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9725154606919539, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9833853746715345, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.985119890225561, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9862137013360074, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906594376814993, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9917177377562774, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9915229662468559, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9927250225293008, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9956016815022418, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963522078959566, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973572069092801, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978016007103419, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9980216040030906, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9992671493244799, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.42.self_attn": [ + { + "accuracy": 0.9554658877222162, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9567669943759316, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9630902346811796, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9669387716996043, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9747684284260398, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9757856193341707, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9783205358605636, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9783515240016737, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9818157114480671, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9827579432412198, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.989590797769396, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903764262011177, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9905681186600735, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.991181659071069, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9941863797997174, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954199410582844, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9948184678429052, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975400841549823, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982487216199699, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.42.mlp": [ + { + "accuracy": 0.9550664550379703, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9576498364147387, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9630850020207857, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9645151746900458, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9782295289792513, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9802408688946774, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9821633320105704, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.988279156778988, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9892280133146989, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9888380977668261, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903518416379627, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9942818229135714, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9951715038010949, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9967124552318924, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9970738644662657, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9974371043867186, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991244156109659, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.43.self_attn": [ + { + "accuracy": 0.945530326742875, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9477307420027883, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9535022879901686, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9627968480712489, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9705165561876798, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9717136997925607, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9771184058565843, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9784617502438394, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9798399743280912, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9832031350386771, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9857757530714336, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9871384454400915, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9876263478868886, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9889599280922037, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9927919020778254, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.994551348058801, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939457707499203, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969544371491984, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9982695810888943, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.43.mlp": [ + { + "accuracy": 0.9590288369279159, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9611774965336448, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9657754333395707, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9672872518238268, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9796794809793171, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9815361374302914, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9833941773364419, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9888361472832529, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9898335353324288, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9895651685564142, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.990959000430609, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9946598810584921, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9954739071820912, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969051390102035, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9972917308148584, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9976791529671142, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991539445166525, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.44.self_attn": [ + { + "accuracy": 0.9621423859345286, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9644130186030739, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9659340256138852, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9681457281112671, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9799726574044478, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9811720863768929, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9828119136785206, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9840488261298129, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9865826556557103, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9874693641537114, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9903906238706488, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925093172412169, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9919553312816118, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9931666788301969, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.995406967636786, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9963944170035814, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9959648965220702, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978485868165368, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9988872479451331, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.44.mlp": [ + { + "accuracy": 0.9672325943645678, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9689733229185405, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9731427964411283, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9744283870646828, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9838529009568063, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9852908912457918, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9869489207079536, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9912555374597248, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9919988991398561, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9917350458471399, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9928300514032966, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957711696624756, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9964089656346723, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975688471213767, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9978390279176989, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9981869570910931, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9993300394302136, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.45.self_attn": [ + { + "accuracy": 0.9845446097223383, + "total_bits": 120648832, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9855212035932039, + "total_bits": 124941440, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9872126493014788, + "total_bits": 132771264, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9888058038134324, + "total_bits": 151349184, + "q_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9922808683232257, + "total_bits": 178772544, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9925712974447953, + "total_bits": 179069184, + "q_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64, + "3": 64 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9935136606034479, + "total_bits": 228842048, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9939800375386288, + "total_bits": 229138688, + "q_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9952637702226639, + "total_bits": 231211520, + "q_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 64 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9957436464334789, + "total_bits": 234170624, + "q_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9965288192033768, + "total_bits": 235692288, + "q_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9969801567494869, + "total_bits": 237404672, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9968328426935171, + "total_bits": 245265536, + "q_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 64 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 64, + "4": 64 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9973735903438768, + "total_bits": 248473856, + "q_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "5": 32 + }, + "bits": [ + 5 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9983089850529244, + "total_bits": 300407360, + "q_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985852828739505, + "total_bits": 305096960, + "q_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9986032230877563, + "total_bits": 342088256, + "q_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9991790739525306, + "total_bits": 366291200, + "q_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 32 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "6": 32 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9996276354221137, + "total_bits": 455334464, + "q_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "k_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "v_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "o_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.layers.45.mlp": [ + { + "accuracy": 0.9809331282189018, + "total_bits": 1140405360, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.982046072420321, + "total_bits": 1182872688, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "6": 32, + "3": 64, + "2": 64 + }, + "bits": [ + 6, + 3, + 2 + ], + "bits_prop": [ + 0.05, + 0.2, + 0.75 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.984723615018945, + "total_bits": 1320973056, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "3": 32 + }, + "bits": [ + 5, + 3 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9855617974933825, + "total_bits": 1482289920, + "gate_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "3": 64, + "2": 64 + }, + "bits": [ + 3, + 2 + ], + "bits_prop": [ + 0.3, + 0.7 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9906491166666934, + "total_bits": 1668262848, + "gate_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 128, + "3": 128 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128, + "3": 128 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9914866928991518, + "total_bits": 1714097664, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32, + "3": 32 + }, + "bits": [ + 8, + 4, + 3 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.992559731790894, + "total_bits": 1843156032, + "gate_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32, + "3": 32 + }, + "bits": [ + 4, + 3 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9949401397454111, + "total_bits": 2106802176, + "gate_proj": { + "group_size": { + "4": 128 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 128 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9953713393525073, + "total_bits": 2137886208, + "gate_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "4": 32 + }, + "bits": [ + 4 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "4": 32 + }, + "bits": [ + 8, + 4 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9952078673400377, + "total_bits": 2169318336, + "gate_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 128, + "4": 128 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 128, + "4": 128 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9958519037616881, + "total_bits": 2215153152, + "gate_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "5": 32, + "4": 32 + }, + "bits": [ + 5, + 4 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "5": 32, + "4": 32 + }, + "bits": [ + 8, + 5, + 4 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9975470445658031, + "total_bits": 2670373824, + "gate_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128, + "5": 128 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128, + "5": 128 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9979205609936463, + "total_bits": 2716208640, + "gate_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 32, + "5": 32 + }, + "bits": [ + 6, + 5 + ], + "bits_prop": [ + 0.25, + 0.75 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 32, + "5": 32 + }, + "bits": [ + 8, + 6, + 5 + ], + "bits_prop": [ + 0.05, + 0.1, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9985885995587236, + "total_bits": 3092982720, + "gate_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "6": 128 + }, + "bits": [ + 6 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 32, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.05, + 0.95 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9987431777347076, + "total_bits": 3202466688, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.15, + 0.85 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9989745311046901, + "total_bits": 3490300800, + "gate_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128, + "6": 128 + }, + "bits": [ + 8, + 6 + ], + "bits_prop": [ + 0.1, + 0.9 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + }, + { + "accuracy": 0.9995967363693604, + "total_bits": 4094280576, + "gate_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "up_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + }, + "down_proj": { + "group_size": { + "8": 128 + }, + "bits": [ + 8 + ], + "bits_prop": [ + 1 + ], + "scale_bits": 4 + } + } + ], + "model.norm.norm": null, + "lm_head.linear": null + }, + "last_module_idx": 94 +} \ No newline at end of file diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000000000000000000000000000000000000..490d8bbe4e1566b008e98fc80b9f6dd107a1ebec --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,515 @@ +{ + "metadata": { + "total_size": 54454256640 + }, + "weight_map": { + "model.embed_tokens.weight": "model-00001-of-00012.safetensors", + "model.layers.0.input_layernorm.weight": "model-00001-of-00012.safetensors", + "model.layers.0.mlp.down_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.0.mlp.up_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00012.safetensors", + "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00012.safetensors", + "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00012.safetensors", + "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.1.input_layernorm.weight": "model-00001-of-00012.safetensors", + "model.layers.1.mlp.down_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.1.mlp.up_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00012.safetensors", + "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00012.safetensors", + "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00012.safetensors", + "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.10.input_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.10.mlp.down_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.10.mlp.up_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.10.post_attention_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.10.post_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.10.pre_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.11.input_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.11.mlp.down_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.11.mlp.gate_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.11.mlp.up_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.11.post_attention_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.11.post_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.11.pre_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.11.self_attn.k_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.11.self_attn.o_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.11.self_attn.q_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.11.self_attn.v_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.12.input_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.12.mlp.down_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.12.mlp.gate_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.12.mlp.up_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.12.post_attention_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.12.post_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.12.pre_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.12.self_attn.k_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.12.self_attn.o_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.12.self_attn.q_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.12.self_attn.v_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.13.input_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.13.mlp.down_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.13.mlp.gate_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.13.mlp.up_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.13.post_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.13.pre_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.13.self_attn.k_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.13.self_attn.o_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.13.self_attn.q_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.13.self_attn.v_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.14.input_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.14.mlp.down_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.14.mlp.up_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.14.post_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.14.pre_feedforward_layernorm.weight": "model-00004-of-00012.safetensors", + "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.15.input_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.15.mlp.down_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.15.mlp.gate_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.15.mlp.up_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.15.post_attention_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.15.post_feedforward_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.15.pre_feedforward_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00012.safetensors", + "model.layers.16.input_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.16.mlp.down_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.16.mlp.gate_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.16.mlp.up_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.16.post_attention_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.16.post_feedforward_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.16.pre_feedforward_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.16.self_attn.k_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.16.self_attn.o_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.16.self_attn.q_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.16.self_attn.v_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.17.input_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.17.mlp.down_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.17.mlp.gate_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.17.mlp.up_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.17.post_attention_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.17.post_feedforward_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.17.pre_feedforward_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.17.self_attn.k_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.17.self_attn.o_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.17.self_attn.q_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.17.self_attn.v_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.18.input_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.18.mlp.down_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.18.mlp.gate_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.18.mlp.up_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.18.post_feedforward_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.18.pre_feedforward_layernorm.weight": "model-00005-of-00012.safetensors", + "model.layers.18.self_attn.k_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.18.self_attn.o_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.18.self_attn.q_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.18.self_attn.v_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.19.input_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.19.mlp.down_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.19.mlp.up_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.19.post_attention_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.19.post_feedforward_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.19.pre_feedforward_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00012.safetensors", + "model.layers.2.input_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.2.mlp.down_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.2.mlp.gate_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.2.mlp.up_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.2.post_feedforward_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.2.pre_feedforward_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00012.safetensors", + "model.layers.20.input_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.20.mlp.down_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.20.mlp.gate_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.20.mlp.up_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.20.post_attention_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.20.post_feedforward_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.20.pre_feedforward_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.20.self_attn.k_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.20.self_attn.o_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.20.self_attn.q_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.20.self_attn.v_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.21.input_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.21.mlp.down_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.21.mlp.gate_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.21.mlp.up_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.21.post_attention_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.21.post_feedforward_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.21.pre_feedforward_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.21.self_attn.k_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.21.self_attn.o_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.21.self_attn.q_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.21.self_attn.v_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.22.input_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.22.mlp.down_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.22.mlp.gate_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.22.mlp.up_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.22.post_attention_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.22.post_feedforward_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.22.pre_feedforward_layernorm.weight": "model-00006-of-00012.safetensors", + "model.layers.22.self_attn.k_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.22.self_attn.o_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.22.self_attn.q_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.22.self_attn.v_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.23.input_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.23.mlp.down_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.23.mlp.gate_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.23.mlp.up_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.23.post_attention_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.23.post_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.23.pre_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.23.self_attn.k_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.23.self_attn.o_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.23.self_attn.q_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.23.self_attn.v_proj.weight": "model-00006-of-00012.safetensors", + "model.layers.24.input_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.24.mlp.down_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.24.mlp.gate_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.24.mlp.up_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.24.post_attention_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.24.post_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.24.pre_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.24.self_attn.k_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.24.self_attn.o_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.24.self_attn.q_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.24.self_attn.v_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.25.input_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.25.mlp.down_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.25.mlp.gate_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.25.mlp.up_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.25.post_attention_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.25.post_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.25.pre_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.25.self_attn.k_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.25.self_attn.o_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.25.self_attn.q_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.25.self_attn.v_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.26.input_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.26.mlp.down_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.26.mlp.gate_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.26.mlp.up_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.26.post_attention_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.26.post_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.26.pre_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.26.self_attn.k_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.26.self_attn.o_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.26.self_attn.q_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.26.self_attn.v_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.27.input_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.27.mlp.down_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.27.mlp.gate_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.27.mlp.up_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.27.post_attention_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.27.post_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.27.pre_feedforward_layernorm.weight": "model-00007-of-00012.safetensors", + "model.layers.27.self_attn.k_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.27.self_attn.o_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.27.self_attn.q_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.27.self_attn.v_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.28.input_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.28.mlp.down_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.28.mlp.gate_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.28.mlp.up_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.28.post_attention_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.28.post_feedforward_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.28.pre_feedforward_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.28.self_attn.k_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.28.self_attn.o_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.28.self_attn.q_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.28.self_attn.v_proj.weight": "model-00007-of-00012.safetensors", + "model.layers.29.input_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.29.mlp.down_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.29.mlp.gate_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.29.mlp.up_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.29.post_attention_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.29.post_feedforward_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.29.pre_feedforward_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.29.self_attn.k_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.29.self_attn.o_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.29.self_attn.q_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.29.self_attn.v_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.3.input_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.3.mlp.down_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.3.mlp.up_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.3.post_feedforward_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.3.pre_feedforward_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.30.input_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.30.mlp.down_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.30.mlp.gate_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.30.mlp.up_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.30.post_attention_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.30.post_feedforward_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.30.pre_feedforward_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.30.self_attn.k_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.30.self_attn.o_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.30.self_attn.q_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.30.self_attn.v_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.31.input_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.31.mlp.down_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.31.mlp.gate_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.31.mlp.up_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.31.post_attention_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.31.post_feedforward_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.31.pre_feedforward_layernorm.weight": "model-00008-of-00012.safetensors", + "model.layers.31.self_attn.k_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.31.self_attn.o_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.31.self_attn.q_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.31.self_attn.v_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.32.input_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.32.mlp.down_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.32.mlp.gate_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.32.mlp.up_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.32.post_attention_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.32.post_feedforward_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.32.pre_feedforward_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.32.self_attn.k_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.32.self_attn.o_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.32.self_attn.q_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.32.self_attn.v_proj.weight": "model-00008-of-00012.safetensors", + "model.layers.33.input_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.33.mlp.down_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.33.mlp.gate_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.33.mlp.up_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.33.post_attention_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.33.post_feedforward_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.33.pre_feedforward_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.33.self_attn.k_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.33.self_attn.o_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.33.self_attn.q_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.33.self_attn.v_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.34.input_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.34.mlp.down_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.34.mlp.gate_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.34.mlp.up_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.34.post_attention_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.34.post_feedforward_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.34.pre_feedforward_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.34.self_attn.k_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.34.self_attn.o_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.34.self_attn.q_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.34.self_attn.v_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.35.input_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.35.mlp.down_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.35.mlp.gate_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.35.mlp.up_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.35.post_attention_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.35.post_feedforward_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.35.pre_feedforward_layernorm.weight": "model-00009-of-00012.safetensors", + "model.layers.35.self_attn.k_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.35.self_attn.o_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.35.self_attn.q_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.35.self_attn.v_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.36.input_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.36.mlp.down_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.36.mlp.gate_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.36.mlp.up_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.36.post_attention_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.36.post_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.36.pre_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.36.self_attn.k_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.36.self_attn.o_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.36.self_attn.q_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.36.self_attn.v_proj.weight": "model-00009-of-00012.safetensors", + "model.layers.37.input_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.37.mlp.down_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.37.mlp.gate_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.37.mlp.up_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.37.post_attention_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.37.post_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.37.pre_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.37.self_attn.k_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.37.self_attn.o_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.37.self_attn.q_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.37.self_attn.v_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.38.input_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.38.mlp.down_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.38.mlp.gate_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.38.mlp.up_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.38.post_attention_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.38.post_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.38.pre_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.38.self_attn.k_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.38.self_attn.o_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.38.self_attn.q_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.38.self_attn.v_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.39.input_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.39.mlp.down_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.39.mlp.gate_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.39.mlp.up_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.39.post_attention_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.39.post_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.39.pre_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.39.self_attn.k_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.39.self_attn.o_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.39.self_attn.q_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.39.self_attn.v_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.4.input_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.4.mlp.down_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.4.mlp.up_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.4.post_feedforward_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.4.pre_feedforward_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.40.input_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.40.mlp.down_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.40.mlp.gate_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.40.mlp.up_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.40.post_attention_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.40.post_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.40.pre_feedforward_layernorm.weight": "model-00010-of-00012.safetensors", + "model.layers.40.self_attn.k_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.40.self_attn.o_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.40.self_attn.q_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.40.self_attn.v_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.41.input_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.41.mlp.down_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.41.mlp.gate_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.41.mlp.up_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.41.post_attention_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.41.post_feedforward_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.41.pre_feedforward_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.41.self_attn.k_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.41.self_attn.o_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.41.self_attn.q_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.41.self_attn.v_proj.weight": "model-00010-of-00012.safetensors", + "model.layers.42.input_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.42.mlp.down_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.42.mlp.gate_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.42.mlp.up_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.42.post_attention_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.42.post_feedforward_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.42.pre_feedforward_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.42.self_attn.k_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.42.self_attn.o_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.42.self_attn.q_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.42.self_attn.v_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.43.input_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.43.mlp.down_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.43.mlp.gate_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.43.mlp.up_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.43.post_attention_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.43.post_feedforward_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.43.pre_feedforward_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.43.self_attn.k_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.43.self_attn.o_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.43.self_attn.q_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.43.self_attn.v_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.44.input_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.44.mlp.down_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.44.mlp.gate_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.44.mlp.up_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.44.post_attention_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.44.post_feedforward_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.44.pre_feedforward_layernorm.weight": "model-00011-of-00012.safetensors", + "model.layers.44.self_attn.k_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.44.self_attn.o_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.44.self_attn.q_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.44.self_attn.v_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.45.input_layernorm.weight": "model-00012-of-00012.safetensors", + "model.layers.45.mlp.down_proj.weight": "model-00012-of-00012.safetensors", + "model.layers.45.mlp.gate_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.45.mlp.up_proj.weight": "model-00012-of-00012.safetensors", + "model.layers.45.post_attention_layernorm.weight": "model-00012-of-00012.safetensors", + "model.layers.45.post_feedforward_layernorm.weight": "model-00012-of-00012.safetensors", + "model.layers.45.pre_feedforward_layernorm.weight": "model-00012-of-00012.safetensors", + "model.layers.45.self_attn.k_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.45.self_attn.o_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.45.self_attn.q_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.45.self_attn.v_proj.weight": "model-00011-of-00012.safetensors", + "model.layers.5.input_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.5.mlp.down_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.5.mlp.up_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.5.post_feedforward_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.5.pre_feedforward_layernorm.weight": "model-00002-of-00012.safetensors", + "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.6.input_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.6.mlp.down_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.6.mlp.up_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.6.post_attention_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.6.post_feedforward_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.6.pre_feedforward_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00012.safetensors", + "model.layers.7.input_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.7.mlp.down_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.7.mlp.gate_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.7.mlp.up_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.7.post_attention_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.7.post_feedforward_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.7.pre_feedforward_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.7.self_attn.k_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.7.self_attn.o_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.7.self_attn.q_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.7.self_attn.v_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.8.input_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.8.mlp.down_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.8.mlp.up_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.8.post_feedforward_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.8.pre_feedforward_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.8.self_attn.k_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.8.self_attn.o_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.8.self_attn.q_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.8.self_attn.v_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.9.input_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.9.mlp.down_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.9.mlp.up_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.9.post_feedforward_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.9.pre_feedforward_layernorm.weight": "model-00003-of-00012.safetensors", + "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00012.safetensors", + "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00012.safetensors", + "model.norm.weight": "model-00012-of-00012.safetensors" + } +} diff --git a/output-00001-of-00003.safetensors b/output-00001-of-00003.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..0451c160b034103609a9d3ea3c404ee7e8072119 --- /dev/null +++ b/output-00001-of-00003.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:69c777d8a3f5baa82bbb2465bdcd53032a29a3fe501134c23fc3737e5a9d4415 +size 8555776816 diff --git a/output-00002-of-00003.safetensors b/output-00002-of-00003.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..f156923fbd71429b5a6e37f3ae0dc6f0193c7915 --- /dev/null +++ b/output-00002-of-00003.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7cc0fcb15186aee2a3514b59b50d3172ab4d9beaa43623d7aa9ea5a2b9a13461 +size 8496535048 diff --git a/output-00003-of-00003.safetensors b/output-00003-of-00003.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..117fe243377d1b57441012cede0141196538e23f --- /dev/null +++ b/output-00003-of-00003.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aea90e3445821f90d5da17a6a10dc33f1692bc31f5b48ebe6adb4582b6f9fd94 +size 4145431816 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..8d6368f7e735fbe4781bf6e956b7c6ad0586df80 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,34 @@ +{ + "additional_special_tokens": [ + "", + "" + ], + "bos_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000000000000000000000000000000000000..af0eac5c0056f83b8f3fcdb79165f8847111c305 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3f289bc05132635a8bc7aca7aa21255efd5e18f3710f43e3cdb96bcd41be4922 +size 17525357 diff --git a/tokenizer.model b/tokenizer.model new file mode 100644 index 0000000000000000000000000000000000000000..796efe9ab515c15e146ce7588e6d7b9b8134dbf8 --- /dev/null +++ b/tokenizer.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2 +size 4241003 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..bdce82ff742acff8e7a68f3177d1f74fb2a1364f --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,2013 @@ +{ + "add_bos_token": true, + "add_eos_token": false, + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "3": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "4": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "5": { + "content": "<2mass>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "6": { + "content": "[@BOS@]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "7": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "8": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "9": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "10": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "11": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "12": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "13": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "14": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "15": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "16": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "17": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "18": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "19": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "20": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "21": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "22": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "23": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "24": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "25": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "26": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "27": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "28": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "29": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "30": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "31": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "32": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "33": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "34": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "35": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "36": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "37": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "38": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "39": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "40": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "41": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "42": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "43": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "44": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "45": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "46": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "47": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "48": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "49": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "50": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "51": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "52": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "53": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "54": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "55": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "56": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "57": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "58": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "59": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "60": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "61": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "62": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "63": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "64": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "65": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "66": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "67": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "68": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "69": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "70": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "71": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "72": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "73": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "74": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "75": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "76": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "77": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "78": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "79": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "80": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "81": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "82": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "83": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "84": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "85": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "86": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "87": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "88": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "89": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "90": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "91": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "92": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "93": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "94": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "95": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "96": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "97": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "98": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "99": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "100": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "101": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "102": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "103": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "104": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "105": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "106": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "107": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "108": { + "content": "\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "109": { + "content": "\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "110": { + "content": "\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "111": { + "content": "\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "112": { + "content": "\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "113": { + "content": "\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "114": { + "content": "\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "115": { + "content": "\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "116": { + "content": "\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "117": { + "content": "\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "118": { + "content": "\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "119": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "120": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "121": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "122": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "123": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "124": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "125": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "126": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "127": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "128": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "129": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "130": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "131": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "132": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "133": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "134": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "135": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "136": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "137": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "138": { + "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "139": { + "content": "▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "140": { + "content": "▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "141": { + "content": "▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "142": { + "content": "▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "143": { + "content": "▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "144": { + "content": "▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "145": { + "content": "▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "146": { + "content": "▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "147": { + "content": "▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "148": { + "content": "▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "149": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "150": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "152": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "153": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "154": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "155": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "156": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "157": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "158": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "159": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "160": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "161": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "162": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "163": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "164": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "165": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "166": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "167": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "168": { + "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "169": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "170": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "172": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "173": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "174": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "175": { + "content": "
", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "171": { + "content": "
", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "176": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "177": { + "content": "
", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "178": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "179": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "180": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "181": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "182": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "183": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "184": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "185": { + "content": "

", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "186": { + "content": "

", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "187": { + "content": "

", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "188": { + "content": "

", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "189": { + "content": "

", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "190": { + "content": "
", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "191": { + "content": "
", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "192": { + "content": "
", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "193": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "194": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "195": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "196": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "197": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "198": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "199": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "200": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "201": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "202": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "203": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "204": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "205": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "206": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "207": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "208": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "209": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "210": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "211": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "212": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "213": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "214": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "215": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "216": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255968": { + "content": "[toxicity=0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255969": { + "content": "\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255970": { + "content": "\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255971": { + "content": "\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255972": { + "content": "\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255973": { + "content": "\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255974": { + "content": "\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255975": { + "content": "\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255976": { + "content": "\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255977": { + "content": "\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255978": { + "content": "\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255979": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255980": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255981": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255982": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255983": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255984": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255985": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255986": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255987": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255988": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255989": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255990": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255991": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255992": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255993": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255994": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255995": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255996": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255997": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255998": { + "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "255999": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + } + }, + "additional_special_tokens": [ + "", + "" + ], + "bos_token": "", + "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] | trim + '\n\n' %}{% set messages = messages[1:] %}{% else %}{% set system_message = '' %}{% endif %}{% for message in messages %}{% if loop.index0 == 0 %}{% set content = system_message + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '' + role + '\n' + content | trim + '\n' }}{% endfor %}{% if add_generation_prompt %}{{'model\n'}}{% endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "model_max_length": 2048, + "pad_token": "", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "tokenizer_class": "GemmaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/trainer_state.json b/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..9384d67714558de0c023db86877d807337db3c8b --- /dev/null +++ b/trainer_state.json @@ -0,0 +1,4392 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9987085665088248, + "eval_steps": 500, + "global_step": 290, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0034438226431338786, + "grad_norm": 52.674065050138765, + "learning_rate": 2.7586206896551723e-08, + "logits/chosen": -5.615417003631592, + "logits/rejected": -5.667238712310791, + "logps/chosen": -0.4943414330482483, + "logps/rejected": -0.6143913865089417, + "loss": 5.1079, + "rewards/accuracies": 0.5, + "rewards/chosen": -4.943414688110352, + "rewards/margins": 1.200499415397644, + "rewards/rejected": -6.143914222717285, + "step": 1 + }, + { + "epoch": 0.006887645286267757, + "grad_norm": 60.60351785955272, + "learning_rate": 5.517241379310345e-08, + "logits/chosen": -5.4836554527282715, + "logits/rejected": -5.671990871429443, + "logps/chosen": -0.5493791103363037, + "logps/rejected": -0.6132436990737915, + "loss": 5.0887, + "rewards/accuracies": 0.6875, + "rewards/chosen": -5.493791103363037, + "rewards/margins": 0.638646125793457, + "rewards/rejected": -6.132437705993652, + "step": 2 + }, + { + "epoch": 0.010331467929401636, + "grad_norm": 59.59005871499247, + "learning_rate": 8.275862068965517e-08, + "logits/chosen": -5.246090412139893, + "logits/rejected": -5.381677627563477, + "logps/chosen": -0.45825690031051636, + "logps/rejected": -0.531363308429718, + "loss": 5.0369, + "rewards/accuracies": 0.75, + "rewards/chosen": -4.582569122314453, + "rewards/margins": 0.7310642004013062, + "rewards/rejected": -5.313632965087891, + "step": 3 + }, + { + "epoch": 0.013775290572535515, + "grad_norm": 58.937392298416974, + "learning_rate": 1.103448275862069e-07, + "logits/chosen": -5.279723167419434, + "logits/rejected": -5.392016410827637, + "logps/chosen": -0.5628327131271362, + "logps/rejected": -0.5180907249450684, + "loss": 5.3846, + "rewards/accuracies": 0.3125, + "rewards/chosen": -5.628327369689941, + "rewards/margins": -0.4474201798439026, + "rewards/rejected": -5.180907249450684, + "step": 4 + }, + { + "epoch": 0.017219113215669393, + "grad_norm": 51.34542849508367, + "learning_rate": 1.3793103448275863e-07, + "logits/chosen": -5.257406234741211, + "logits/rejected": -5.315362453460693, + "logps/chosen": -0.525193989276886, + "logps/rejected": -0.572905421257019, + "loss": 5.1008, + "rewards/accuracies": 0.5625, + "rewards/chosen": -5.25193977355957, + "rewards/margins": 0.47711431980133057, + "rewards/rejected": -5.729053974151611, + "step": 5 + }, + { + "epoch": 0.020662935858803272, + "grad_norm": 62.72154095060763, + "learning_rate": 1.6551724137931034e-07, + "logits/chosen": -5.621905326843262, + "logits/rejected": -5.849234104156494, + "logps/chosen": -0.5514707565307617, + "logps/rejected": -0.5989887118339539, + "loss": 5.0616, + "rewards/accuracies": 0.4375, + "rewards/chosen": -5.514707565307617, + "rewards/margins": 0.47517985105514526, + "rewards/rejected": -5.989887237548828, + "step": 6 + }, + { + "epoch": 0.02410675850193715, + "grad_norm": 58.76872623763212, + "learning_rate": 1.9310344827586208e-07, + "logits/chosen": -5.585313320159912, + "logits/rejected": -5.405150413513184, + "logps/chosen": -0.6232742667198181, + "logps/rejected": -0.5102998614311218, + "loss": 5.2864, + "rewards/accuracies": 0.6875, + "rewards/chosen": -6.232743263244629, + "rewards/margins": -1.129744529724121, + "rewards/rejected": -5.102999210357666, + "step": 7 + }, + { + "epoch": 0.02755058114507103, + "grad_norm": 49.99034574764161, + "learning_rate": 2.206896551724138e-07, + "logits/chosen": -5.209949016571045, + "logits/rejected": -5.195341110229492, + "logps/chosen": -0.47157737612724304, + "logps/rejected": -0.47744542360305786, + "loss": 5.1666, + "rewards/accuracies": 0.6875, + "rewards/chosen": -4.715773582458496, + "rewards/margins": 0.05868096649646759, + "rewards/rejected": -4.7744550704956055, + "step": 8 + }, + { + "epoch": 0.030994403788204908, + "grad_norm": 58.66744740284535, + "learning_rate": 2.482758620689655e-07, + "logits/chosen": -5.36690616607666, + "logits/rejected": -5.485147953033447, + "logps/chosen": -0.5631701946258545, + "logps/rejected": -0.5826945304870605, + "loss": 5.1211, + "rewards/accuracies": 0.625, + "rewards/chosen": -5.631701946258545, + "rewards/margins": 0.1952425241470337, + "rewards/rejected": -5.826944828033447, + "step": 9 + }, + { + "epoch": 0.034438226431338786, + "grad_norm": 46.491425410700735, + "learning_rate": 2.7586206896551726e-07, + "logits/chosen": -5.605222225189209, + "logits/rejected": -5.74063777923584, + "logps/chosen": -0.501873791217804, + "logps/rejected": -0.5232819318771362, + "loss": 5.1411, + "rewards/accuracies": 0.5, + "rewards/chosen": -5.018738269805908, + "rewards/margins": 0.21408089995384216, + "rewards/rejected": -5.232819080352783, + "step": 10 + }, + { + "epoch": 0.037882049074472665, + "grad_norm": 83.27704023131166, + "learning_rate": 3.034482758620689e-07, + "logits/chosen": -5.455163955688477, + "logits/rejected": -5.336368560791016, + "logps/chosen": -0.7997897267341614, + "logps/rejected": -0.5844107270240784, + "loss": 5.6532, + "rewards/accuracies": 0.5, + "rewards/chosen": -7.997897624969482, + "rewards/margins": -2.1537904739379883, + "rewards/rejected": -5.844107151031494, + "step": 11 + }, + { + "epoch": 0.041325871717606544, + "grad_norm": 48.93901907364537, + "learning_rate": 3.310344827586207e-07, + "logits/chosen": -5.099009990692139, + "logits/rejected": -5.078139781951904, + "logps/chosen": -0.4147089719772339, + "logps/rejected": -0.4047776460647583, + "loss": 5.1796, + "rewards/accuracies": 0.6875, + "rewards/chosen": -4.147089958190918, + "rewards/margins": -0.09931322932243347, + "rewards/rejected": -4.047776699066162, + "step": 12 + }, + { + "epoch": 0.04476969436074042, + "grad_norm": 50.65745487462828, + "learning_rate": 3.586206896551724e-07, + "logits/chosen": -4.989038467407227, + "logits/rejected": -4.911070346832275, + "logps/chosen": -0.5246780514717102, + "logps/rejected": -0.47285518050193787, + "loss": 5.0677, + "rewards/accuracies": 0.5, + "rewards/chosen": -5.2467803955078125, + "rewards/margins": -0.5182281732559204, + "rewards/rejected": -4.728552341461182, + "step": 13 + }, + { + "epoch": 0.0482135170038743, + "grad_norm": 57.66601162283009, + "learning_rate": 3.8620689655172415e-07, + "logits/chosen": -5.70846700668335, + "logits/rejected": -5.75710916519165, + "logps/chosen": -0.44634702801704407, + "logps/rejected": -0.4534481465816498, + "loss": 5.1503, + "rewards/accuracies": 0.4375, + "rewards/chosen": -4.463469982147217, + "rewards/margins": 0.07101157307624817, + "rewards/rejected": -4.534482002258301, + "step": 14 + }, + { + "epoch": 0.05165733964700818, + "grad_norm": 64.39971082160424, + "learning_rate": 4.1379310344827586e-07, + "logits/chosen": -5.157317161560059, + "logits/rejected": -5.051291465759277, + "logps/chosen": -0.5117197632789612, + "logps/rejected": -0.6016834378242493, + "loss": 5.1127, + "rewards/accuracies": 0.625, + "rewards/chosen": -5.117197036743164, + "rewards/margins": 0.8996371626853943, + "rewards/rejected": -6.016834735870361, + "step": 15 + }, + { + "epoch": 0.05510116229014206, + "grad_norm": 43.28657458222468, + "learning_rate": 4.413793103448276e-07, + "logits/chosen": -5.220727920532227, + "logits/rejected": -5.298764228820801, + "logps/chosen": -0.4690421521663666, + "logps/rejected": -0.4100668132305145, + "loss": 4.9565, + "rewards/accuracies": 0.375, + "rewards/chosen": -4.6904215812683105, + "rewards/margins": -0.5897536873817444, + "rewards/rejected": -4.100667953491211, + "step": 16 + }, + { + "epoch": 0.05854498493327594, + "grad_norm": 55.940864947672644, + "learning_rate": 4.6896551724137923e-07, + "logits/chosen": -5.025401592254639, + "logits/rejected": -5.0607781410217285, + "logps/chosen": -0.6796688437461853, + "logps/rejected": -0.6925962567329407, + "loss": 5.0153, + "rewards/accuracies": 0.5, + "rewards/chosen": -6.796688079833984, + "rewards/margins": 0.12927353382110596, + "rewards/rejected": -6.925961971282959, + "step": 17 + }, + { + "epoch": 0.061988807576409816, + "grad_norm": 60.73894736133069, + "learning_rate": 4.96551724137931e-07, + "logits/chosen": -5.200845718383789, + "logits/rejected": -5.258395195007324, + "logps/chosen": -0.38808485865592957, + "logps/rejected": -0.38210412859916687, + "loss": 5.0964, + "rewards/accuracies": 0.375, + "rewards/chosen": -3.8808484077453613, + "rewards/margins": -0.059806786477565765, + "rewards/rejected": -3.8210418224334717, + "step": 18 + }, + { + "epoch": 0.0654326302195437, + "grad_norm": 50.35855568678846, + "learning_rate": 5.241379310344828e-07, + "logits/chosen": -5.284404277801514, + "logits/rejected": -5.353991508483887, + "logps/chosen": -0.4545897841453552, + "logps/rejected": -0.4399701952934265, + "loss": 5.0991, + "rewards/accuracies": 0.3125, + "rewards/chosen": -4.545897483825684, + "rewards/margins": -0.1461959034204483, + "rewards/rejected": -4.399702548980713, + "step": 19 + }, + { + "epoch": 0.06887645286267757, + "grad_norm": 103.40309567567355, + "learning_rate": 5.517241379310345e-07, + "logits/chosen": -5.317500114440918, + "logits/rejected": -5.262624740600586, + "logps/chosen": -0.4840647280216217, + "logps/rejected": -0.6067878007888794, + "loss": 5.1123, + "rewards/accuracies": 0.5625, + "rewards/chosen": -4.8406476974487305, + "rewards/margins": 1.2272305488586426, + "rewards/rejected": -6.067877769470215, + "step": 20 + }, + { + "epoch": 0.07232027550581145, + "grad_norm": 46.89431893563974, + "learning_rate": 5.793103448275862e-07, + "logits/chosen": -5.2541890144348145, + "logits/rejected": -5.130758285522461, + "logps/chosen": -0.4697263538837433, + "logps/rejected": -0.5909743905067444, + "loss": 4.937, + "rewards/accuracies": 0.5625, + "rewards/chosen": -4.697263240814209, + "rewards/margins": 1.2124805450439453, + "rewards/rejected": -5.9097442626953125, + "step": 21 + }, + { + "epoch": 0.07576409814894533, + "grad_norm": 67.56806825458494, + "learning_rate": 6.068965517241378e-07, + "logits/chosen": -4.811267375946045, + "logits/rejected": -4.888763904571533, + "logps/chosen": -0.4097307324409485, + "logps/rejected": -0.40606409311294556, + "loss": 5.1578, + "rewards/accuracies": 0.375, + "rewards/chosen": -4.097307205200195, + "rewards/margins": -0.03666616231203079, + "rewards/rejected": -4.060640811920166, + "step": 22 + }, + { + "epoch": 0.07920792079207921, + "grad_norm": 61.29631937996971, + "learning_rate": 6.344827586206897e-07, + "logits/chosen": -4.587668418884277, + "logits/rejected": -4.847754001617432, + "logps/chosen": -0.5758047103881836, + "logps/rejected": -0.5185554027557373, + "loss": 4.8982, + "rewards/accuracies": 0.5, + "rewards/chosen": -5.758047580718994, + "rewards/margins": -0.5724934339523315, + "rewards/rejected": -5.185554027557373, + "step": 23 + }, + { + "epoch": 0.08265174343521309, + "grad_norm": 93.2152404636039, + "learning_rate": 6.620689655172414e-07, + "logits/chosen": -4.800999641418457, + "logits/rejected": -5.004166603088379, + "logps/chosen": -0.3709278702735901, + "logps/rejected": -0.4135555624961853, + "loss": 4.8412, + "rewards/accuracies": 0.5625, + "rewards/chosen": -3.7092788219451904, + "rewards/margins": 0.42627638578414917, + "rewards/rejected": -4.135554790496826, + "step": 24 + }, + { + "epoch": 0.08609556607834697, + "grad_norm": 64.42035341096593, + "learning_rate": 6.89655172413793e-07, + "logits/chosen": -4.344979286193848, + "logits/rejected": -4.520305633544922, + "logps/chosen": -0.46768859028816223, + "logps/rejected": -0.4844363033771515, + "loss": 4.9329, + "rewards/accuracies": 0.4375, + "rewards/chosen": -4.676885604858398, + "rewards/margins": 0.16747775673866272, + "rewards/rejected": -4.844363212585449, + "step": 25 + }, + { + "epoch": 0.08953938872148084, + "grad_norm": 56.68263958973131, + "learning_rate": 7.172413793103448e-07, + "logits/chosen": -4.4868011474609375, + "logits/rejected": -4.451172828674316, + "logps/chosen": -0.3706013262271881, + "logps/rejected": -0.44255292415618896, + "loss": 4.8804, + "rewards/accuracies": 0.75, + "rewards/chosen": -3.7060132026672363, + "rewards/margins": 0.7195163369178772, + "rewards/rejected": -4.425529479980469, + "step": 26 + }, + { + "epoch": 0.09298321136461472, + "grad_norm": 69.68637190790966, + "learning_rate": 7.448275862068965e-07, + "logits/chosen": -4.358417510986328, + "logits/rejected": -4.435417652130127, + "logps/chosen": -0.3981940746307373, + "logps/rejected": -0.4577309489250183, + "loss": 4.8387, + "rewards/accuracies": 0.5625, + "rewards/chosen": -3.981940984725952, + "rewards/margins": 0.5953686237335205, + "rewards/rejected": -4.5773091316223145, + "step": 27 + }, + { + "epoch": 0.0964270340077486, + "grad_norm": 58.3412204024468, + "learning_rate": 7.724137931034483e-07, + "logits/chosen": -4.649521350860596, + "logits/rejected": -4.8989362716674805, + "logps/chosen": -0.33310776948928833, + "logps/rejected": -0.37322184443473816, + "loss": 4.6174, + "rewards/accuracies": 0.625, + "rewards/chosen": -3.331077814102173, + "rewards/margins": 0.4011409282684326, + "rewards/rejected": -3.7322187423706055, + "step": 28 + }, + { + "epoch": 0.09987085665088248, + "grad_norm": 56.195572626431165, + "learning_rate": 8e-07, + "logits/chosen": -4.673098087310791, + "logits/rejected": -5.0018768310546875, + "logps/chosen": -0.4161800742149353, + "logps/rejected": -0.3885071277618408, + "loss": 4.65, + "rewards/accuracies": 0.4375, + "rewards/chosen": -4.161801338195801, + "rewards/margins": -0.27672961354255676, + "rewards/rejected": -3.885071277618408, + "step": 29 + }, + { + "epoch": 0.10331467929401636, + "grad_norm": 67.80702382842614, + "learning_rate": 7.999710236630706e-07, + "logits/chosen": -4.643288612365723, + "logits/rejected": -4.589477062225342, + "logps/chosen": -0.4303164482116699, + "logps/rejected": -0.506043016910553, + "loss": 4.8244, + "rewards/accuracies": 0.625, + "rewards/chosen": -4.303164482116699, + "rewards/margins": 0.7572658658027649, + "rewards/rejected": -5.06043004989624, + "step": 30 + }, + { + "epoch": 0.10675850193715024, + "grad_norm": 50.50628925100566, + "learning_rate": 7.998840988504232e-07, + "logits/chosen": -4.767556190490723, + "logits/rejected": -4.7690935134887695, + "logps/chosen": -0.403850257396698, + "logps/rejected": -0.44447407126426697, + "loss": 4.7897, + "rewards/accuracies": 0.5625, + "rewards/chosen": -4.0385026931762695, + "rewards/margins": 0.4062381088733673, + "rewards/rejected": -4.4447407722473145, + "step": 31 + }, + { + "epoch": 0.11020232458028412, + "grad_norm": 60.05314418873607, + "learning_rate": 7.997392381558708e-07, + "logits/chosen": -3.7635271549224854, + "logits/rejected": -3.760200262069702, + "logps/chosen": -0.5402004718780518, + "logps/rejected": -0.5654389262199402, + "loss": 4.7483, + "rewards/accuracies": 0.5, + "rewards/chosen": -5.402004718780518, + "rewards/margins": 0.25238436460494995, + "rewards/rejected": -5.654389381408691, + "step": 32 + }, + { + "epoch": 0.113646147223418, + "grad_norm": 50.090026374394135, + "learning_rate": 7.99536462567075e-07, + "logits/chosen": -5.203555583953857, + "logits/rejected": -5.3314290046691895, + "logps/chosen": -0.4754854440689087, + "logps/rejected": -0.4819332957267761, + "loss": 4.8249, + "rewards/accuracies": 0.375, + "rewards/chosen": -4.754855155944824, + "rewards/margins": 0.06447845697402954, + "rewards/rejected": -4.819333076477051, + "step": 33 + }, + { + "epoch": 0.11708996986655187, + "grad_norm": 44.62210441192165, + "learning_rate": 7.992758014625048e-07, + "logits/chosen": -4.730749607086182, + "logits/rejected": -4.70894718170166, + "logps/chosen": -0.3653126657009125, + "logps/rejected": -0.47924527525901794, + "loss": 4.681, + "rewards/accuracies": 0.6875, + "rewards/chosen": -3.6531267166137695, + "rewards/margins": 1.1393256187438965, + "rewards/rejected": -4.792451858520508, + "step": 34 + }, + { + "epoch": 0.12053379250968575, + "grad_norm": 51.36875532303172, + "learning_rate": 7.989572926071799e-07, + "logits/chosen": -4.721662521362305, + "logits/rejected": -4.724156856536865, + "logps/chosen": -0.4223301410675049, + "logps/rejected": -0.4952259063720703, + "loss": 4.5665, + "rewards/accuracies": 0.625, + "rewards/chosen": -4.223300933837891, + "rewards/margins": 0.7289580702781677, + "rewards/rejected": -4.952259063720703, + "step": 35 + }, + { + "epoch": 0.12397761515281963, + "grad_norm": 57.9863349338661, + "learning_rate": 7.985809821472e-07, + "logits/chosen": -4.691116809844971, + "logits/rejected": -4.813366413116455, + "logps/chosen": -0.4277626872062683, + "logps/rejected": -0.4881032705307007, + "loss": 4.6191, + "rewards/accuracies": 0.625, + "rewards/chosen": -4.277626991271973, + "rewards/margins": 0.6034059524536133, + "rewards/rejected": -4.881032943725586, + "step": 36 + }, + { + "epoch": 0.1274214377959535, + "grad_norm": 63.01073545994464, + "learning_rate": 7.981469246030587e-07, + "logits/chosen": -4.308718204498291, + "logits/rejected": -4.413212776184082, + "logps/chosen": -0.4789758026599884, + "logps/rejected": -0.58740234375, + "loss": 4.7889, + "rewards/accuracies": 0.6875, + "rewards/chosen": -4.789758205413818, + "rewards/margins": 1.0842654705047607, + "rewards/rejected": -5.8740234375, + "step": 37 + }, + { + "epoch": 0.1308652604390874, + "grad_norm": 83.60559787534415, + "learning_rate": 7.976551828617438e-07, + "logits/chosen": -4.922616481781006, + "logits/rejected": -4.967951774597168, + "logps/chosen": -0.4330342710018158, + "logps/rejected": -0.4283411204814911, + "loss": 4.7034, + "rewards/accuracies": 0.4375, + "rewards/chosen": -4.330342769622803, + "rewards/margins": -0.0469314381480217, + "rewards/rejected": -4.283411026000977, + "step": 38 + }, + { + "epoch": 0.13430908308222125, + "grad_norm": 57.08486563674846, + "learning_rate": 7.971058281676275e-07, + "logits/chosen": -5.094006061553955, + "logits/rejected": -5.191053867340088, + "logps/chosen": -0.4875888228416443, + "logps/rejected": -0.6387084722518921, + "loss": 4.6644, + "rewards/accuracies": 0.75, + "rewards/chosen": -4.875887870788574, + "rewards/margins": 1.5111969709396362, + "rewards/rejected": -6.3870849609375, + "step": 39 + }, + { + "epoch": 0.13775290572535515, + "grad_norm": 60.77964329495937, + "learning_rate": 7.964989401121432e-07, + "logits/chosen": -4.993417739868164, + "logits/rejected": -4.969631195068359, + "logps/chosen": -0.33883655071258545, + "logps/rejected": -0.3545013964176178, + "loss": 4.5686, + "rewards/accuracies": 0.5625, + "rewards/chosen": -3.3883657455444336, + "rewards/margins": 0.1566484272480011, + "rewards/rejected": -3.5450141429901123, + "step": 40 + }, + { + "epoch": 0.141196728368489, + "grad_norm": 40.340190041907185, + "learning_rate": 7.958346066222549e-07, + "logits/chosen": -4.525943756103516, + "logits/rejected": -4.55746603012085, + "logps/chosen": -0.45404478907585144, + "logps/rejected": -0.4469107389450073, + "loss": 4.5937, + "rewards/accuracies": 0.5625, + "rewards/chosen": -4.54044771194458, + "rewards/margins": -0.07134075462818146, + "rewards/rejected": -4.469107151031494, + "step": 41 + }, + { + "epoch": 0.1446405510116229, + "grad_norm": 57.514362166929665, + "learning_rate": 7.951129239477177e-07, + "logits/chosen": -5.132482528686523, + "logits/rejected": -5.1113786697387695, + "logps/chosen": -0.401109516620636, + "logps/rejected": -0.44438689947128296, + "loss": 4.6176, + "rewards/accuracies": 0.4375, + "rewards/chosen": -4.01109504699707, + "rewards/margins": 0.43277424573898315, + "rewards/rejected": -4.443869113922119, + "step": 42 + }, + { + "epoch": 0.14808437365475677, + "grad_norm": 60.34883135001456, + "learning_rate": 7.943339966471333e-07, + "logits/chosen": -4.517858982086182, + "logits/rejected": -4.421618461608887, + "logps/chosen": -0.6845810413360596, + "logps/rejected": -0.6314383745193481, + "loss": 4.6897, + "rewards/accuracies": 0.5, + "rewards/chosen": -6.8458099365234375, + "rewards/margins": -0.531426191329956, + "rewards/rejected": -6.3143839836120605, + "step": 43 + }, + { + "epoch": 0.15152819629789066, + "grad_norm": 65.95554033423765, + "learning_rate": 7.93497937572801e-07, + "logits/chosen": -5.128730297088623, + "logits/rejected": -5.0609660148620605, + "logps/chosen": -0.5347275137901306, + "logps/rejected": -0.5926434397697449, + "loss": 4.7481, + "rewards/accuracies": 0.75, + "rewards/chosen": -5.3472747802734375, + "rewards/margins": 0.5791594386100769, + "rewards/rejected": -5.926434516906738, + "step": 44 + }, + { + "epoch": 0.15497201894102453, + "grad_norm": 65.36255184426133, + "learning_rate": 7.926048678543684e-07, + "logits/chosen": -4.324880599975586, + "logits/rejected": -4.221179485321045, + "logps/chosen": -0.5375354290008545, + "logps/rejected": -0.7417870163917542, + "loss": 4.4532, + "rewards/accuracies": 0.75, + "rewards/chosen": -5.375354766845703, + "rewards/margins": 2.042515277862549, + "rewards/rejected": -7.417870044708252, + "step": 45 + }, + { + "epoch": 0.15841584158415842, + "grad_norm": 56.19140828662666, + "learning_rate": 7.916549168812805e-07, + "logits/chosen": -4.412731647491455, + "logits/rejected": -4.406851768493652, + "logps/chosen": -0.43062710762023926, + "logps/rejected": -0.5201414227485657, + "loss": 4.4945, + "rewards/accuracies": 0.6875, + "rewards/chosen": -4.306270599365234, + "rewards/margins": 0.8951433897018433, + "rewards/rejected": -5.201414585113525, + "step": 46 + }, + { + "epoch": 0.16185966422729228, + "grad_norm": 61.47712790834795, + "learning_rate": 7.906482222840346e-07, + "logits/chosen": -3.994800329208374, + "logits/rejected": -3.9059207439422607, + "logps/chosen": -0.4685822129249573, + "logps/rejected": -0.6291300058364868, + "loss": 4.5688, + "rewards/accuracies": 0.6875, + "rewards/chosen": -4.685822010040283, + "rewards/margins": 1.6054778099060059, + "rewards/rejected": -6.291299819946289, + "step": 47 + }, + { + "epoch": 0.16530348687042618, + "grad_norm": 71.97293938631553, + "learning_rate": 7.8958492991424e-07, + "logits/chosen": -4.644060134887695, + "logits/rejected": -4.552207946777344, + "logps/chosen": -0.49269717931747437, + "logps/rejected": -0.48811206221580505, + "loss": 4.3686, + "rewards/accuracies": 0.5, + "rewards/chosen": -4.926971435546875, + "rewards/margins": -0.04585088789463043, + "rewards/rejected": -4.881120204925537, + "step": 48 + }, + { + "epoch": 0.16874730951356004, + "grad_norm": 50.91272883112091, + "learning_rate": 7.884651938234865e-07, + "logits/chosen": -4.6048712730407715, + "logits/rejected": -4.637516975402832, + "logps/chosen": -0.454245924949646, + "logps/rejected": -0.5149778723716736, + "loss": 4.4144, + "rewards/accuracies": 0.6875, + "rewards/chosen": -4.542459011077881, + "rewards/margins": 0.6073201894760132, + "rewards/rejected": -5.149779796600342, + "step": 49 + }, + { + "epoch": 0.17219113215669393, + "grad_norm": 70.84729258897266, + "learning_rate": 7.872891762410253e-07, + "logits/chosen": -4.788956642150879, + "logits/rejected": -4.830476760864258, + "logps/chosen": -0.5271515846252441, + "logps/rejected": -0.5558156967163086, + "loss": 4.398, + "rewards/accuracies": 0.625, + "rewards/chosen": -5.271515846252441, + "rewards/margins": 0.2866411805152893, + "rewards/rejected": -5.558156967163086, + "step": 50 + }, + { + "epoch": 0.1756349547998278, + "grad_norm": 72.43110951103814, + "learning_rate": 7.860570475502648e-07, + "logits/chosen": -4.508288860321045, + "logits/rejected": -4.559998035430908, + "logps/chosen": -0.4371810257434845, + "logps/rejected": -0.5790078639984131, + "loss": 4.4228, + "rewards/accuracies": 0.625, + "rewards/chosen": -4.371809959411621, + "rewards/margins": 1.4182684421539307, + "rewards/rejected": -5.790079116821289, + "step": 51 + }, + { + "epoch": 0.1790787774429617, + "grad_norm": 55.410292700087545, + "learning_rate": 7.847689862640855e-07, + "logits/chosen": -4.518070697784424, + "logits/rejected": -4.57796049118042, + "logps/chosen": -0.4647026062011719, + "logps/rejected": -0.5196883082389832, + "loss": 4.7694, + "rewards/accuracies": 0.5625, + "rewards/chosen": -4.647026062011719, + "rewards/margins": 0.5498570203781128, + "rewards/rejected": -5.196883201599121, + "step": 52 + }, + { + "epoch": 0.18252260008609555, + "grad_norm": 69.37009413960385, + "learning_rate": 7.834251789989765e-07, + "logits/chosen": -4.978256702423096, + "logits/rejected": -4.886575698852539, + "logps/chosen": -0.5333456993103027, + "logps/rejected": -0.7749611139297485, + "loss": 4.6385, + "rewards/accuracies": 0.5625, + "rewards/chosen": -5.333456516265869, + "rewards/margins": 2.4161548614501953, + "rewards/rejected": -7.7496113777160645, + "step": 53 + }, + { + "epoch": 0.18596642272922945, + "grad_norm": 72.61257423821304, + "learning_rate": 7.820258204479982e-07, + "logits/chosen": -4.223357677459717, + "logits/rejected": -4.151899337768555, + "logps/chosen": -0.5688156485557556, + "logps/rejected": -0.6057307124137878, + "loss": 4.811, + "rewards/accuracies": 0.5, + "rewards/chosen": -5.688156604766846, + "rewards/margins": 0.3691507577896118, + "rewards/rejected": -6.05730676651001, + "step": 54 + }, + { + "epoch": 0.1894102453723633, + "grad_norm": 56.657706476039074, + "learning_rate": 7.805711133525747e-07, + "logits/chosen": -4.470883846282959, + "logits/rejected": -4.288090705871582, + "logps/chosen": -0.6821640729904175, + "logps/rejected": -0.6564118266105652, + "loss": 4.6001, + "rewards/accuracies": 0.625, + "rewards/chosen": -6.8216400146484375, + "rewards/margins": -0.25752171874046326, + "rewards/rejected": -6.564118385314941, + "step": 55 + }, + { + "epoch": 0.1928540680154972, + "grad_norm": 78.23314078065798, + "learning_rate": 7.790612684731209e-07, + "logits/chosen": -4.282840728759766, + "logits/rejected": -4.223234176635742, + "logps/chosen": -0.6843351721763611, + "logps/rejected": -0.8569565415382385, + "loss": 4.456, + "rewards/accuracies": 0.625, + "rewards/chosen": -6.843351364135742, + "rewards/margins": 1.7262136936187744, + "rewards/rejected": -8.569564819335938, + "step": 56 + }, + { + "epoch": 0.19629789065863107, + "grad_norm": 64.08169300905095, + "learning_rate": 7.774965045585064e-07, + "logits/chosen": -5.029541015625, + "logits/rejected": -5.061357498168945, + "logps/chosen": -0.5916852951049805, + "logps/rejected": -0.6251527667045593, + "loss": 4.3484, + "rewards/accuracies": 0.625, + "rewards/chosen": -5.916852951049805, + "rewards/margins": 0.334674596786499, + "rewards/rejected": -6.251528263092041, + "step": 57 + }, + { + "epoch": 0.19974171330176496, + "grad_norm": 62.02026429799981, + "learning_rate": 7.758770483143634e-07, + "logits/chosen": -3.820904016494751, + "logits/rejected": -3.8994665145874023, + "logps/chosen": -0.6398332118988037, + "logps/rejected": -0.662560760974884, + "loss": 4.3431, + "rewards/accuracies": 0.5625, + "rewards/chosen": -6.398331642150879, + "rewards/margins": 0.22727595269680023, + "rewards/rejected": -6.625607967376709, + "step": 58 + }, + { + "epoch": 0.20318553594489883, + "grad_norm": 57.111582977153155, + "learning_rate": 7.742031343702404e-07, + "logits/chosen": -4.509333610534668, + "logits/rejected": -4.401131629943848, + "logps/chosen": -0.5554917454719543, + "logps/rejected": -0.6513252854347229, + "loss": 4.1657, + "rewards/accuracies": 0.8125, + "rewards/chosen": -5.554917335510254, + "rewards/margins": 0.9583351016044617, + "rewards/rejected": -6.5132527351379395, + "step": 59 + }, + { + "epoch": 0.20662935858803272, + "grad_norm": 68.28922293268536, + "learning_rate": 7.724750052456098e-07, + "logits/chosen": -4.062650680541992, + "logits/rejected": -3.9956672191619873, + "logps/chosen": -0.5649631023406982, + "logps/rejected": -0.7722354531288147, + "loss": 4.3439, + "rewards/accuracies": 0.75, + "rewards/chosen": -5.649630546569824, + "rewards/margins": 2.072723627090454, + "rewards/rejected": -7.722353935241699, + "step": 60 + }, + { + "epoch": 0.21007318123116658, + "grad_norm": 65.73305092854736, + "learning_rate": 7.706929113147304e-07, + "logits/chosen": -4.709454536437988, + "logits/rejected": -4.698660850524902, + "logps/chosen": -0.6076084971427917, + "logps/rejected": -0.6684498190879822, + "loss": 4.2227, + "rewards/accuracies": 0.6875, + "rewards/chosen": -6.076085090637207, + "rewards/margins": 0.6084132790565491, + "rewards/rejected": -6.684497833251953, + "step": 61 + }, + { + "epoch": 0.21351700387430048, + "grad_norm": 67.46265604716064, + "learning_rate": 7.688571107703732e-07, + "logits/chosen": -3.963956832885742, + "logits/rejected": -3.938755512237549, + "logps/chosen": -0.5723408460617065, + "logps/rejected": -0.5089117288589478, + "loss": 4.4227, + "rewards/accuracies": 0.4375, + "rewards/chosen": -5.7234086990356445, + "rewards/margins": -0.6342912316322327, + "rewards/rejected": -5.089117527008057, + "step": 62 + }, + { + "epoch": 0.21696082651743434, + "grad_norm": 60.086542404476894, + "learning_rate": 7.669678695864137e-07, + "logits/chosen": -4.414982795715332, + "logits/rejected": -4.424773693084717, + "logps/chosen": -0.7808203101158142, + "logps/rejected": -0.9502580761909485, + "loss": 4.1876, + "rewards/accuracies": 0.625, + "rewards/chosen": -7.80820369720459, + "rewards/margins": 1.6943775415420532, + "rewards/rejected": -9.502581596374512, + "step": 63 + }, + { + "epoch": 0.22040464916056823, + "grad_norm": 62.22132599200314, + "learning_rate": 7.650254614792972e-07, + "logits/chosen": -5.100131511688232, + "logits/rejected": -4.888442039489746, + "logps/chosen": -0.7664632797241211, + "logps/rejected": -0.7097909450531006, + "loss": 4.0675, + "rewards/accuracies": 0.5625, + "rewards/chosen": -7.664633274078369, + "rewards/margins": -0.5667227506637573, + "rewards/rejected": -7.097909927368164, + "step": 64 + }, + { + "epoch": 0.2238484718037021, + "grad_norm": 64.6980516756494, + "learning_rate": 7.630301678683828e-07, + "logits/chosen": -4.501206398010254, + "logits/rejected": -4.3760600090026855, + "logps/chosen": -0.582870602607727, + "logps/rejected": -0.7515184283256531, + "loss": 3.8879, + "rewards/accuracies": 0.6875, + "rewards/chosen": -5.82870626449585, + "rewards/margins": 1.686477780342102, + "rewards/rejected": -7.51518440246582, + "step": 65 + }, + { + "epoch": 0.227292294446836, + "grad_norm": 58.49975168550397, + "learning_rate": 7.6098227783517e-07, + "logits/chosen": -4.590901851654053, + "logits/rejected": -4.614831447601318, + "logps/chosen": -0.6885466575622559, + "logps/rejected": -0.6569955945014954, + "loss": 4.2328, + "rewards/accuracies": 0.4375, + "rewards/chosen": -6.885467052459717, + "rewards/margins": -0.31551113724708557, + "rewards/rejected": -6.569955825805664, + "step": 66 + }, + { + "epoch": 0.23073611708996986, + "grad_norm": 71.25690755989906, + "learning_rate": 7.588820880814168e-07, + "logits/chosen": -4.404972553253174, + "logits/rejected": -4.322005271911621, + "logps/chosen": -0.7880414128303528, + "logps/rejected": -0.8913244605064392, + "loss": 4.4685, + "rewards/accuracies": 0.625, + "rewards/chosen": -7.8804144859313965, + "rewards/margins": 1.032829999923706, + "rewards/rejected": -8.913244247436523, + "step": 67 + }, + { + "epoch": 0.23417993973310375, + "grad_norm": 74.45643519661347, + "learning_rate": 7.567299028861528e-07, + "logits/chosen": -5.07747220993042, + "logits/rejected": -4.910668849945068, + "logps/chosen": -0.8106582760810852, + "logps/rejected": -0.8454375863075256, + "loss": 4.2067, + "rewards/accuracies": 0.8125, + "rewards/chosen": -8.106582641601562, + "rewards/margins": 0.3477928638458252, + "rewards/rejected": -8.454376220703125, + "step": 68 + }, + { + "epoch": 0.2376237623762376, + "grad_norm": 61.17870132728996, + "learning_rate": 7.54526034061595e-07, + "logits/chosen": -4.368528842926025, + "logits/rejected": -4.182857513427734, + "logps/chosen": -0.7671667337417603, + "logps/rejected": -0.8781678676605225, + "loss": 4.0971, + "rewards/accuracies": 0.625, + "rewards/chosen": -7.67166805267334, + "rewards/margins": 1.110011100769043, + "rewards/rejected": -8.781679153442383, + "step": 69 + }, + { + "epoch": 0.2410675850193715, + "grad_norm": 80.03873573932812, + "learning_rate": 7.522708009079711e-07, + "logits/chosen": -3.757272720336914, + "logits/rejected": -3.6177382469177246, + "logps/chosen": -0.7591115832328796, + "logps/rejected": -1.0031275749206543, + "loss": 4.4004, + "rewards/accuracies": 0.6875, + "rewards/chosen": -7.591116905212402, + "rewards/margins": 2.4401588439941406, + "rewards/rejected": -10.031274795532227, + "step": 70 + }, + { + "epoch": 0.24451140766250537, + "grad_norm": 54.78863193631618, + "learning_rate": 7.499645301672599e-07, + "logits/chosen": -4.391002655029297, + "logits/rejected": -4.642823696136475, + "logps/chosen": -0.8277568817138672, + "logps/rejected": -0.8874188661575317, + "loss": 4.0832, + "rewards/accuracies": 0.6875, + "rewards/chosen": -8.277568817138672, + "rewards/margins": 0.5966211557388306, + "rewards/rejected": -8.874189376831055, + "step": 71 + }, + { + "epoch": 0.24795523030563926, + "grad_norm": 68.33693738907787, + "learning_rate": 7.476075559758513e-07, + "logits/chosen": -4.277254581451416, + "logits/rejected": -4.10576057434082, + "logps/chosen": -0.6340219378471375, + "logps/rejected": -0.8107688426971436, + "loss": 4.3541, + "rewards/accuracies": 0.6875, + "rewards/chosen": -6.340219974517822, + "rewards/margins": 1.767467975616455, + "rewards/rejected": -8.107687950134277, + "step": 72 + }, + { + "epoch": 0.2513990529487731, + "grad_norm": 56.379646600357916, + "learning_rate": 7.452002198161371e-07, + "logits/chosen": -4.682867050170898, + "logits/rejected": -4.608969211578369, + "logps/chosen": -0.7252380847930908, + "logps/rejected": -0.8175498247146606, + "loss": 3.8474, + "rewards/accuracies": 0.5625, + "rewards/chosen": -7.25238037109375, + "rewards/margins": 0.9231181144714355, + "rewards/rejected": -8.175498962402344, + "step": 73 + }, + { + "epoch": 0.254842875591907, + "grad_norm": 100.90328367426899, + "learning_rate": 7.427428704670356e-07, + "logits/chosen": -4.861872673034668, + "logits/rejected": -4.656722545623779, + "logps/chosen": -0.7617427706718445, + "logps/rejected": -0.9613173007965088, + "loss": 4.4928, + "rewards/accuracies": 0.625, + "rewards/chosen": -7.617427825927734, + "rewards/margins": 1.9957445859909058, + "rewards/rejected": -9.61317253112793, + "step": 74 + }, + { + "epoch": 0.2582866982350409, + "grad_norm": 65.6279612427127, + "learning_rate": 7.402358639534602e-07, + "logits/chosen": -5.1001877784729, + "logits/rejected": -5.059464454650879, + "logps/chosen": -0.6768380403518677, + "logps/rejected": -0.8699934482574463, + "loss": 4.1233, + "rewards/accuracies": 0.625, + "rewards/chosen": -6.768380641937256, + "rewards/margins": 1.931553840637207, + "rewards/rejected": -8.699934005737305, + "step": 75 + }, + { + "epoch": 0.2617305208781748, + "grad_norm": 69.40821628799613, + "learning_rate": 7.376795634947379e-07, + "logits/chosen": -4.4171576499938965, + "logits/rejected": -4.2465434074401855, + "logps/chosen": -0.7788955569267273, + "logps/rejected": -0.8167555332183838, + "loss": 4.309, + "rewards/accuracies": 0.75, + "rewards/chosen": -7.788956165313721, + "rewards/margins": 0.37859874963760376, + "rewards/rejected": -8.16755485534668, + "step": 76 + }, + { + "epoch": 0.26517434352130864, + "grad_norm": 69.16350786587172, + "learning_rate": 7.350743394519858e-07, + "logits/chosen": -4.930624485015869, + "logits/rejected": -4.70862340927124, + "logps/chosen": -0.8845140933990479, + "logps/rejected": -0.9442533850669861, + "loss": 4.1944, + "rewards/accuracies": 0.625, + "rewards/chosen": -8.845142364501953, + "rewards/margins": 0.5973912477493286, + "rewards/rejected": -9.442534446716309, + "step": 77 + }, + { + "epoch": 0.2686181661644425, + "grad_norm": 67.06499369198696, + "learning_rate": 7.324205692744521e-07, + "logits/chosen": -5.08651065826416, + "logits/rejected": -5.048566818237305, + "logps/chosen": -0.672334611415863, + "logps/rejected": -0.7581319808959961, + "loss": 4.2669, + "rewards/accuracies": 0.4375, + "rewards/chosen": -6.723345756530762, + "rewards/margins": 0.8579738140106201, + "rewards/rejected": -7.581319808959961, + "step": 78 + }, + { + "epoch": 0.2720619888075764, + "grad_norm": 85.80640569218886, + "learning_rate": 7.297186374448307e-07, + "logits/chosen": -5.137825012207031, + "logits/rejected": -5.172469139099121, + "logps/chosen": -0.9155557155609131, + "logps/rejected": -1.0751527547836304, + "loss": 4.1234, + "rewards/accuracies": 0.75, + "rewards/chosen": -9.155557632446289, + "rewards/margins": 1.5959699153900146, + "rewards/rejected": -10.751527786254883, + "step": 79 + }, + { + "epoch": 0.2755058114507103, + "grad_norm": 63.74795493043287, + "learning_rate": 7.269689354235567e-07, + "logits/chosen": -5.289166450500488, + "logits/rejected": -4.827259540557861, + "logps/chosen": -0.7461143136024475, + "logps/rejected": -1.00174081325531, + "loss": 3.6397, + "rewards/accuracies": 0.8125, + "rewards/chosen": -7.461143493652344, + "rewards/margins": 2.5562655925750732, + "rewards/rejected": -10.01740837097168, + "step": 80 + }, + { + "epoch": 0.27894963409384416, + "grad_norm": 63.4036066323074, + "learning_rate": 7.241718615920916e-07, + "logits/chosen": -5.0095415115356445, + "logits/rejected": -4.8333353996276855, + "logps/chosen": -0.8599931597709656, + "logps/rejected": -1.064732551574707, + "loss": 3.9659, + "rewards/accuracies": 0.8125, + "rewards/chosen": -8.599931716918945, + "rewards/margins": 2.0473945140838623, + "rewards/rejected": -10.647326469421387, + "step": 81 + }, + { + "epoch": 0.282393456736978, + "grad_norm": 62.58097683888751, + "learning_rate": 7.213278211952038e-07, + "logits/chosen": -4.466184139251709, + "logits/rejected": -4.107361793518066, + "logps/chosen": -0.7377562522888184, + "logps/rejected": -0.9077808856964111, + "loss": 3.8192, + "rewards/accuracies": 0.8125, + "rewards/chosen": -7.377562046051025, + "rewards/margins": 1.7002463340759277, + "rewards/rejected": -9.07780933380127, + "step": 82 + }, + { + "epoch": 0.28583727938011194, + "grad_norm": 71.46678574585364, + "learning_rate": 7.184372262822574e-07, + "logits/chosen": -4.615472793579102, + "logits/rejected": -4.519737243652344, + "logps/chosen": -0.8602911233901978, + "logps/rejected": -0.9075096845626831, + "loss": 4.0224, + "rewards/accuracies": 0.5625, + "rewards/chosen": -8.602910995483398, + "rewards/margins": 0.47218504548072815, + "rewards/rejected": -9.07509708404541, + "step": 83 + }, + { + "epoch": 0.2892811020232458, + "grad_norm": 76.77633086094144, + "learning_rate": 7.155004956475131e-07, + "logits/chosen": -5.291561126708984, + "logits/rejected": -4.816816329956055, + "logps/chosen": -0.7795137166976929, + "logps/rejected": -0.9014157056808472, + "loss": 3.9316, + "rewards/accuracies": 0.8125, + "rewards/chosen": -7.79513692855835, + "rewards/margins": 1.2190203666687012, + "rewards/rejected": -9.01415729522705, + "step": 84 + }, + { + "epoch": 0.29272492466637967, + "grad_norm": 64.07924704882033, + "learning_rate": 7.125180547694526e-07, + "logits/chosen": -5.0156683921813965, + "logits/rejected": -4.72418737411499, + "logps/chosen": -0.8232897520065308, + "logps/rejected": -1.23880136013031, + "loss": 3.6287, + "rewards/accuracies": 0.6875, + "rewards/chosen": -8.23289680480957, + "rewards/margins": 4.155117034912109, + "rewards/rejected": -12.388014793395996, + "step": 85 + }, + { + "epoch": 0.29616874730951354, + "grad_norm": 60.650149825273516, + "learning_rate": 7.094903357491345e-07, + "logits/chosen": -4.864440441131592, + "logits/rejected": -4.457652568817139, + "logps/chosen": -0.8692309260368347, + "logps/rejected": -1.0946143865585327, + "loss": 3.9978, + "rewards/accuracies": 0.8125, + "rewards/chosen": -8.69230842590332, + "rewards/margins": 2.2538340091705322, + "rewards/rejected": -10.94614315032959, + "step": 86 + }, + { + "epoch": 0.29961256995264746, + "grad_norm": 57.554296714602465, + "learning_rate": 7.064177772475911e-07, + "logits/chosen": -5.011836528778076, + "logits/rejected": -5.0129570960998535, + "logps/chosen": -0.9953622221946716, + "logps/rejected": -1.1730215549468994, + "loss": 3.945, + "rewards/accuracies": 0.625, + "rewards/chosen": -9.953622817993164, + "rewards/margins": 1.7765934467315674, + "rewards/rejected": -11.730216026306152, + "step": 87 + }, + { + "epoch": 0.3030563925957813, + "grad_norm": 76.32625861331243, + "learning_rate": 7.033008244222745e-07, + "logits/chosen": -5.204478740692139, + "logits/rejected": -4.811039924621582, + "logps/chosen": -1.0616154670715332, + "logps/rejected": -1.0835515260696411, + "loss": 3.803, + "rewards/accuracies": 0.6875, + "rewards/chosen": -10.616154670715332, + "rewards/margins": 0.2193598747253418, + "rewards/rejected": -10.835514068603516, + "step": 88 + }, + { + "epoch": 0.3065002152389152, + "grad_norm": 74.9886645079608, + "learning_rate": 7.001399288625609e-07, + "logits/chosen": -5.231860637664795, + "logits/rejected": -4.674942970275879, + "logps/chosen": -0.9697386026382446, + "logps/rejected": -1.13163423538208, + "loss": 3.7676, + "rewards/accuracies": 0.6875, + "rewards/chosen": -9.697385787963867, + "rewards/margins": 1.6189574003219604, + "rewards/rejected": -11.316343307495117, + "step": 89 + }, + { + "epoch": 0.30994403788204905, + "grad_norm": 103.40467284986448, + "learning_rate": 6.969355485243239e-07, + "logits/chosen": -5.283835411071777, + "logits/rejected": -5.210239410400391, + "logps/chosen": -0.9744136929512024, + "logps/rejected": -1.04610276222229, + "loss": 4.0352, + "rewards/accuracies": 0.4375, + "rewards/chosen": -9.744136810302734, + "rewards/margins": 0.7168899774551392, + "rewards/rejected": -10.461027145385742, + "step": 90 + }, + { + "epoch": 0.31338786052518297, + "grad_norm": 75.93291524225512, + "learning_rate": 6.936881476635852e-07, + "logits/chosen": -6.081892013549805, + "logits/rejected": -5.807435989379883, + "logps/chosen": -1.129875898361206, + "logps/rejected": -1.387671709060669, + "loss": 4.1486, + "rewards/accuracies": 0.6875, + "rewards/chosen": -11.298759460449219, + "rewards/margins": 2.5779573917388916, + "rewards/rejected": -13.876716613769531, + "step": 91 + }, + { + "epoch": 0.31683168316831684, + "grad_norm": 81.2673779492731, + "learning_rate": 6.903981967692524e-07, + "logits/chosen": -5.27292013168335, + "logits/rejected": -4.817174911499023, + "logps/chosen": -0.9680742621421814, + "logps/rejected": -1.3815770149230957, + "loss": 3.5383, + "rewards/accuracies": 0.875, + "rewards/chosen": -9.680743217468262, + "rewards/margins": 4.135027885437012, + "rewards/rejected": -13.815771102905273, + "step": 92 + }, + { + "epoch": 0.3202755058114507, + "grad_norm": 74.43824451243964, + "learning_rate": 6.870661724949532e-07, + "logits/chosen": -5.829610824584961, + "logits/rejected": -5.776001453399658, + "logps/chosen": -0.9559181928634644, + "logps/rejected": -1.1338019371032715, + "loss": 3.772, + "rewards/accuracies": 0.6875, + "rewards/chosen": -9.559182167053223, + "rewards/margins": 1.778836965560913, + "rewards/rejected": -11.338018417358398, + "step": 93 + }, + { + "epoch": 0.32371932845458457, + "grad_norm": 80.85750752674423, + "learning_rate": 6.836925575899777e-07, + "logits/chosen": -5.458807468414307, + "logits/rejected": -5.102845668792725, + "logps/chosen": -1.3218635320663452, + "logps/rejected": -1.4797770977020264, + "loss": 3.6527, + "rewards/accuracies": 0.75, + "rewards/chosen": -13.218635559082031, + "rewards/margins": 1.5791367292404175, + "rewards/rejected": -14.797771453857422, + "step": 94 + }, + { + "epoch": 0.3271631510977185, + "grad_norm": 91.67035563126446, + "learning_rate": 6.802778408293369e-07, + "logits/chosen": -6.600034713745117, + "logits/rejected": -5.972718238830566, + "logps/chosen": -1.1001228094100952, + "logps/rejected": -1.3483161926269531, + "loss": 3.2161, + "rewards/accuracies": 0.8125, + "rewards/chosen": -11.001227378845215, + "rewards/margins": 2.4819343090057373, + "rewards/rejected": -13.483161926269531, + "step": 95 + }, + { + "epoch": 0.33060697374085235, + "grad_norm": 82.93501550536419, + "learning_rate": 6.768225169429477e-07, + "logits/chosen": -5.710722923278809, + "logits/rejected": -5.354726314544678, + "logps/chosen": -1.1976306438446045, + "logps/rejected": -1.6553398370742798, + "loss": 3.474, + "rewards/accuracies": 0.75, + "rewards/chosen": -11.976305961608887, + "rewards/margins": 4.577092170715332, + "rewards/rejected": -16.55339813232422, + "step": 96 + }, + { + "epoch": 0.3340507963839862, + "grad_norm": 83.33902780022994, + "learning_rate": 6.733270865439557e-07, + "logits/chosen": -6.448300361633301, + "logits/rejected": -6.226202487945557, + "logps/chosen": -1.595934510231018, + "logps/rejected": -1.6069419384002686, + "loss": 3.8929, + "rewards/accuracies": 0.5625, + "rewards/chosen": -15.959344863891602, + "rewards/margins": 0.11007285118103027, + "rewards/rejected": -16.069419860839844, + "step": 97 + }, + { + "epoch": 0.3374946190271201, + "grad_norm": 117.67802338372276, + "learning_rate": 6.697920560562055e-07, + "logits/chosen": -6.556612968444824, + "logits/rejected": -6.181111812591553, + "logps/chosen": -1.4487080574035645, + "logps/rejected": -1.8549811840057373, + "loss": 3.6244, + "rewards/accuracies": 0.6875, + "rewards/chosen": -14.487081527709961, + "rewards/margins": 4.062728404998779, + "rewards/rejected": -18.549808502197266, + "step": 98 + }, + { + "epoch": 0.340938441670254, + "grad_norm": 93.0037276638684, + "learning_rate": 6.662179376408698e-07, + "logits/chosen": -7.180575370788574, + "logits/rejected": -6.442221641540527, + "logps/chosen": -1.184888243675232, + "logps/rejected": -1.4313077926635742, + "loss": 2.8886, + "rewards/accuracies": 0.5625, + "rewards/chosen": -11.848883628845215, + "rewards/margins": 2.4641964435577393, + "rewards/rejected": -14.313077926635742, + "step": 99 + }, + { + "epoch": 0.34438226431338786, + "grad_norm": 103.70431976296841, + "learning_rate": 6.626052491222453e-07, + "logits/chosen": -7.366156101226807, + "logits/rejected": -6.646521091461182, + "logps/chosen": -1.50858736038208, + "logps/rejected": -1.6617248058319092, + "loss": 3.8069, + "rewards/accuracies": 0.6875, + "rewards/chosen": -15.0858736038208, + "rewards/margins": 1.5313715934753418, + "rewards/rejected": -16.617244720458984, + "step": 100 + }, + { + "epoch": 0.34782608695652173, + "grad_norm": 97.56464703755402, + "learning_rate": 6.589545139127311e-07, + "logits/chosen": -6.810091972351074, + "logits/rejected": -6.6775031089782715, + "logps/chosen": -1.1999897956848145, + "logps/rejected": -1.4419368505477905, + "loss": 3.0443, + "rewards/accuracies": 0.625, + "rewards/chosen": -11.999898910522461, + "rewards/margins": 2.4194700717926025, + "rewards/rejected": -14.419368743896484, + "step": 101 + }, + { + "epoch": 0.3512699095996556, + "grad_norm": 109.40818246650933, + "learning_rate": 6.552662609369942e-07, + "logits/chosen": -9.70158576965332, + "logits/rejected": -9.41241455078125, + "logps/chosen": -1.6020368337631226, + "logps/rejected": -1.8466899394989014, + "loss": 3.8531, + "rewards/accuracies": 0.8125, + "rewards/chosen": -16.020368576049805, + "rewards/margins": 2.446530818939209, + "rewards/rejected": -18.466899871826172, + "step": 102 + }, + { + "epoch": 0.3547137322427895, + "grad_norm": 120.68703068267112, + "learning_rate": 6.515410245553393e-07, + "logits/chosen": -9.626636505126953, + "logits/rejected": -8.800621032714844, + "logps/chosen": -1.5177563428878784, + "logps/rejected": -2.0786399841308594, + "loss": 3.3957, + "rewards/accuracies": 0.875, + "rewards/chosen": -15.177563667297363, + "rewards/margins": 5.608834266662598, + "rewards/rejected": -20.78639793395996, + "step": 103 + }, + { + "epoch": 0.3581575548859234, + "grad_norm": 115.8693954281069, + "learning_rate": 6.477793444862892e-07, + "logits/chosen": -8.715924263000488, + "logits/rejected": -8.530646324157715, + "logps/chosen": -1.4800488948822021, + "logps/rejected": -1.7589524984359741, + "loss": 3.1903, + "rewards/accuracies": 0.75, + "rewards/chosen": -14.800487518310547, + "rewards/margins": 2.7890357971191406, + "rewards/rejected": -17.589523315429688, + "step": 104 + }, + { + "epoch": 0.36160137752905724, + "grad_norm": 152.94221871551687, + "learning_rate": 6.439817657283891e-07, + "logits/chosen": -9.968289375305176, + "logits/rejected": -9.650674819946289, + "logps/chosen": -1.2602545022964478, + "logps/rejected": -1.6873594522476196, + "loss": 3.4884, + "rewards/accuracies": 0.75, + "rewards/chosen": -12.602544784545898, + "rewards/margins": 4.271048545837402, + "rewards/rejected": -16.873594284057617, + "step": 105 + }, + { + "epoch": 0.3650452001721911, + "grad_norm": 105.58797890414657, + "learning_rate": 6.401488384812473e-07, + "logits/chosen": -9.584343910217285, + "logits/rejected": -9.589265823364258, + "logps/chosen": -1.5995938777923584, + "logps/rejected": -1.774956226348877, + "loss": 3.6783, + "rewards/accuracies": 0.75, + "rewards/chosen": -15.995938301086426, + "rewards/margins": 1.7536234855651855, + "rewards/rejected": -17.749563217163086, + "step": 106 + }, + { + "epoch": 0.36848902281532503, + "grad_norm": 136.93293579796645, + "learning_rate": 6.362811180658203e-07, + "logits/chosen": -10.062201499938965, + "logits/rejected": -9.910536766052246, + "logps/chosen": -1.5935949087142944, + "logps/rejected": -1.9505418539047241, + "loss": 3.243, + "rewards/accuracies": 0.75, + "rewards/chosen": -15.93595027923584, + "rewards/margins": 3.5694689750671387, + "rewards/rejected": -19.505420684814453, + "step": 107 + }, + { + "epoch": 0.3719328454584589, + "grad_norm": 116.29861634629408, + "learning_rate": 6.323791648439579e-07, + "logits/chosen": -9.214845657348633, + "logits/rejected": -8.844350814819336, + "logps/chosen": -1.5258371829986572, + "logps/rejected": -1.9718682765960693, + "loss": 3.2289, + "rewards/accuracies": 0.8125, + "rewards/chosen": -15.258371353149414, + "rewards/margins": 4.460310935974121, + "rewards/rejected": -19.71868324279785, + "step": 108 + }, + { + "epoch": 0.37537666810159276, + "grad_norm": 155.48156040186888, + "learning_rate": 6.284435441372161e-07, + "logits/chosen": -11.504440307617188, + "logits/rejected": -10.832094192504883, + "logps/chosen": -1.9326715469360352, + "logps/rejected": -2.6018829345703125, + "loss": 3.0293, + "rewards/accuracies": 0.75, + "rewards/chosen": -19.32671546936035, + "rewards/margins": 6.692113876342773, + "rewards/rejected": -26.018831253051758, + "step": 109 + }, + { + "epoch": 0.3788204907447266, + "grad_norm": 136.87645547171363, + "learning_rate": 6.244748261449529e-07, + "logits/chosen": -11.773118019104004, + "logits/rejected": -11.45300006866455, + "logps/chosen": -1.7673592567443848, + "logps/rejected": -2.0853307247161865, + "loss": 2.9492, + "rewards/accuracies": 0.875, + "rewards/chosen": -17.67359161376953, + "rewards/margins": 3.179716110229492, + "rewards/rejected": -20.853307723999023, + "step": 110 + }, + { + "epoch": 0.38226431338786054, + "grad_norm": 118.1199403678312, + "learning_rate": 6.204735858617171e-07, + "logits/chosen": -11.518077850341797, + "logits/rejected": -10.808693885803223, + "logps/chosen": -1.9174708127975464, + "logps/rejected": -2.1425564289093018, + "loss": 3.0723, + "rewards/accuracies": 0.8125, + "rewards/chosen": -19.174705505371094, + "rewards/margins": 2.250857353210449, + "rewards/rejected": -21.425565719604492, + "step": 111 + }, + { + "epoch": 0.3857081360309944, + "grad_norm": 119.80139407969132, + "learning_rate": 6.164404029939416e-07, + "logits/chosen": -11.800997734069824, + "logits/rejected": -11.651061058044434, + "logps/chosen": -1.7692383527755737, + "logps/rejected": -2.131488800048828, + "loss": 3.1498, + "rewards/accuracies": 0.8125, + "rewards/chosen": -17.692384719848633, + "rewards/margins": 3.6225037574768066, + "rewards/rejected": -21.31488800048828, + "step": 112 + }, + { + "epoch": 0.3891519586741283, + "grad_norm": 163.89733948610942, + "learning_rate": 6.123758618759547e-07, + "logits/chosen": -11.592788696289062, + "logits/rejected": -11.94422435760498, + "logps/chosen": -2.020418405532837, + "logps/rejected": -2.4360499382019043, + "loss": 3.0169, + "rewards/accuracies": 0.75, + "rewards/chosen": -20.204185485839844, + "rewards/margins": 4.156314849853516, + "rewards/rejected": -24.36050033569336, + "step": 113 + }, + { + "epoch": 0.39259578131726214, + "grad_norm": 143.8629447599346, + "learning_rate": 6.082805513853209e-07, + "logits/chosen": -12.300226211547852, + "logits/rejected": -11.13952350616455, + "logps/chosen": -1.6513843536376953, + "logps/rejected": -2.2150726318359375, + "loss": 2.7393, + "rewards/accuracies": 0.875, + "rewards/chosen": -16.513843536376953, + "rewards/margins": 5.636881351470947, + "rewards/rejected": -22.150726318359375, + "step": 114 + }, + { + "epoch": 0.39603960396039606, + "grad_norm": 173.63128250872595, + "learning_rate": 6.041550648575234e-07, + "logits/chosen": -11.796028137207031, + "logits/rejected": -11.548486709594727, + "logps/chosen": -2.350860595703125, + "logps/rejected": -2.701869010925293, + "loss": 3.1346, + "rewards/accuracies": 0.625, + "rewards/chosen": -23.50860595703125, + "rewards/margins": 3.510082721710205, + "rewards/rejected": -27.018688201904297, + "step": 115 + }, + { + "epoch": 0.3994834266035299, + "grad_norm": 138.3119351547436, + "learning_rate": 6e-07, + "logits/chosen": -12.655649185180664, + "logits/rejected": -12.318216323852539, + "logps/chosen": -1.7546292543411255, + "logps/rejected": -2.545380115509033, + "loss": 3.5043, + "rewards/accuracies": 0.8125, + "rewards/chosen": -17.54629135131836, + "rewards/margins": 7.907507419586182, + "rewards/rejected": -25.453800201416016, + "step": 116 + }, + { + "epoch": 0.4029272492466638, + "grad_norm": 145.98056778857588, + "learning_rate": 5.958159588055472e-07, + "logits/chosen": -13.69811725616455, + "logits/rejected": -13.62729549407959, + "logps/chosen": -1.6991206407546997, + "logps/rejected": -2.0454368591308594, + "loss": 3.1443, + "rewards/accuracies": 0.875, + "rewards/chosen": -16.9912052154541, + "rewards/margins": 3.4631614685058594, + "rewards/rejected": -20.454364776611328, + "step": 117 + }, + { + "epoch": 0.40637107188979765, + "grad_norm": 169.50788721509392, + "learning_rate": 5.916035474651021e-07, + "logits/chosen": -13.291184425354004, + "logits/rejected": -13.162979125976562, + "logps/chosen": -1.7755848169326782, + "logps/rejected": -2.445830821990967, + "loss": 3.0084, + "rewards/accuracies": 0.875, + "rewards/chosen": -17.755847930908203, + "rewards/margins": 6.702462196350098, + "rewards/rejected": -24.458311080932617, + "step": 118 + }, + { + "epoch": 0.4098148945329316, + "grad_norm": 119.7129501335904, + "learning_rate": 5.87363376279916e-07, + "logits/chosen": -12.720142364501953, + "logits/rejected": -12.485799789428711, + "logps/chosen": -1.9099136590957642, + "logps/rejected": -2.9828622341156006, + "loss": 2.6101, + "rewards/accuracies": 0.8125, + "rewards/chosen": -19.099138259887695, + "rewards/margins": 10.729487419128418, + "rewards/rejected": -29.828622817993164, + "step": 119 + }, + { + "epoch": 0.41325871717606544, + "grad_norm": 175.87119643186315, + "learning_rate": 5.830960595731334e-07, + "logits/chosen": -11.896202087402344, + "logits/rejected": -12.151188850402832, + "logps/chosen": -1.8780018091201782, + "logps/rejected": -2.5524849891662598, + "loss": 2.5416, + "rewards/accuracies": 0.75, + "rewards/chosen": -18.780019760131836, + "rewards/margins": 6.744830131530762, + "rewards/rejected": -25.52484893798828, + "step": 120 + }, + { + "epoch": 0.4167025398191993, + "grad_norm": 182.67604950430695, + "learning_rate": 5.788022156007876e-07, + "logits/chosen": -13.834617614746094, + "logits/rejected": -13.90433406829834, + "logps/chosen": -2.329464912414551, + "logps/rejected": -2.853301763534546, + "loss": 3.5812, + "rewards/accuracies": 0.75, + "rewards/chosen": -23.294649124145508, + "rewards/margins": 5.238368034362793, + "rewards/rejected": -28.533016204833984, + "step": 121 + }, + { + "epoch": 0.42014636246233317, + "grad_norm": 162.94046075177278, + "learning_rate": 5.744824664622269e-07, + "logits/chosen": -13.56065559387207, + "logits/rejected": -13.065262794494629, + "logps/chosen": -2.3431150913238525, + "logps/rejected": -2.9342470169067383, + "loss": 2.9716, + "rewards/accuracies": 0.8125, + "rewards/chosen": -23.431150436401367, + "rewards/margins": 5.911318778991699, + "rewards/rejected": -29.342470169067383, + "step": 122 + }, + { + "epoch": 0.4235901851054671, + "grad_norm": 140.20048424042622, + "learning_rate": 5.70137438009984e-07, + "logits/chosen": -14.668344497680664, + "logits/rejected": -13.541962623596191, + "logps/chosen": -2.4308154582977295, + "logps/rejected": -2.9639768600463867, + "loss": 3.1536, + "rewards/accuracies": 0.6875, + "rewards/chosen": -24.308155059814453, + "rewards/margins": 5.331615447998047, + "rewards/rejected": -29.639768600463867, + "step": 123 + }, + { + "epoch": 0.42703400774860095, + "grad_norm": 271.24268423314203, + "learning_rate": 5.657677597591007e-07, + "logits/chosen": -14.41106128692627, + "logits/rejected": -14.61843204498291, + "logps/chosen": -2.38899564743042, + "logps/rejected": -2.7550418376922607, + "loss": 3.5358, + "rewards/accuracies": 0.625, + "rewards/chosen": -23.889955520629883, + "rewards/margins": 3.660465717315674, + "rewards/rejected": -27.550418853759766, + "step": 124 + }, + { + "epoch": 0.4304778303917348, + "grad_norm": 165.17472401407244, + "learning_rate": 5.613740647959235e-07, + "logits/chosen": -12.676807403564453, + "logits/rejected": -12.471404075622559, + "logps/chosen": -1.8505709171295166, + "logps/rejected": -2.3470511436462402, + "loss": 2.8249, + "rewards/accuracies": 0.875, + "rewards/chosen": -18.505708694458008, + "rewards/margins": 4.964802265167236, + "rewards/rejected": -23.47051239013672, + "step": 125 + }, + { + "epoch": 0.4339216530348687, + "grad_norm": 143.69505743500713, + "learning_rate": 5.569569896863801e-07, + "logits/chosen": -13.985774993896484, + "logits/rejected": -13.654581069946289, + "logps/chosen": -1.782606601715088, + "logps/rejected": -2.051421642303467, + "loss": 3.256, + "rewards/accuracies": 0.8125, + "rewards/chosen": -17.826065063476562, + "rewards/margins": 2.688152551651001, + "rewards/rejected": -20.514219284057617, + "step": 126 + }, + { + "epoch": 0.4373654756780026, + "grad_norm": 198.98779014050083, + "learning_rate": 5.52517174383754e-07, + "logits/chosen": -13.829938888549805, + "logits/rejected": -13.86230182647705, + "logps/chosen": -2.4392776489257812, + "logps/rejected": -3.190002679824829, + "loss": 2.8292, + "rewards/accuracies": 0.8125, + "rewards/chosen": -24.39277458190918, + "rewards/margins": 7.50724983215332, + "rewards/rejected": -31.900026321411133, + "step": 127 + }, + { + "epoch": 0.44080929832113647, + "grad_norm": 189.97902844787896, + "learning_rate": 5.480552621359659e-07, + "logits/chosen": -14.226242065429688, + "logits/rejected": -14.341365814208984, + "logps/chosen": -2.10856294631958, + "logps/rejected": -2.4918906688690186, + "loss": 3.2012, + "rewards/accuracies": 0.625, + "rewards/chosen": -21.085630416870117, + "rewards/margins": 3.8332767486572266, + "rewards/rejected": -24.918907165527344, + "step": 128 + }, + { + "epoch": 0.44425312096427033, + "grad_norm": 136.19908022128857, + "learning_rate": 5.435718993923784e-07, + "logits/chosen": -13.451090812683105, + "logits/rejected": -12.785599708557129, + "logps/chosen": -1.6525287628173828, + "logps/rejected": -2.3770031929016113, + "loss": 2.4949, + "rewards/accuracies": 0.875, + "rewards/chosen": -16.52528953552246, + "rewards/margins": 7.244744300842285, + "rewards/rejected": -23.77003288269043, + "step": 129 + }, + { + "epoch": 0.4476969436074042, + "grad_norm": 135.82081198678648, + "learning_rate": 5.39067735710139e-07, + "logits/chosen": -14.511775016784668, + "logits/rejected": -13.7813138961792, + "logps/chosen": -2.127079963684082, + "logps/rejected": -2.742191791534424, + "loss": 2.8888, + "rewards/accuracies": 0.5625, + "rewards/chosen": -21.27079963684082, + "rewards/margins": 6.151117324829102, + "rewards/rejected": -27.42191505432129, + "step": 130 + }, + { + "epoch": 0.4511407662505381, + "grad_norm": 183.19436612857393, + "learning_rate": 5.3454342366007e-07, + "logits/chosen": -14.230147361755371, + "logits/rejected": -13.983600616455078, + "logps/chosen": -2.1134510040283203, + "logps/rejected": -2.4505257606506348, + "loss": 3.9961, + "rewards/accuracies": 0.75, + "rewards/chosen": -21.134510040283203, + "rewards/margins": 3.3707499504089355, + "rewards/rejected": -24.505260467529297, + "step": 131 + }, + { + "epoch": 0.454584588893672, + "grad_norm": 207.54586277796528, + "learning_rate": 5.299996187321231e-07, + "logits/chosen": -15.675312042236328, + "logits/rejected": -15.437052726745605, + "logps/chosen": -1.9110677242279053, + "logps/rejected": -2.109048366546631, + "loss": 3.5684, + "rewards/accuracies": 0.5625, + "rewards/chosen": -19.110675811767578, + "rewards/margins": 1.9798049926757812, + "rewards/rejected": -21.090482711791992, + "step": 132 + }, + { + "epoch": 0.45802841153680585, + "grad_norm": 126.18602958529125, + "learning_rate": 5.254369792404108e-07, + "logits/chosen": -14.874656677246094, + "logits/rejected": -14.413407325744629, + "logps/chosen": -2.353257417678833, + "logps/rejected": -3.3936214447021484, + "loss": 2.0221, + "rewards/accuracies": 1.0, + "rewards/chosen": -23.532573699951172, + "rewards/margins": 10.403639793395996, + "rewards/rejected": -33.936214447021484, + "step": 133 + }, + { + "epoch": 0.4614722341799397, + "grad_norm": 143.02615992144584, + "learning_rate": 5.20856166227829e-07, + "logits/chosen": -15.980953216552734, + "logits/rejected": -15.589332580566406, + "logps/chosen": -2.683424472808838, + "logps/rejected": -3.0904102325439453, + "loss": 2.7952, + "rewards/accuracies": 0.75, + "rewards/chosen": -26.834243774414062, + "rewards/margins": 4.069858551025391, + "rewards/rejected": -30.904102325439453, + "step": 134 + }, + { + "epoch": 0.46491605682307363, + "grad_norm": 160.67163719835557, + "learning_rate": 5.162578433702844e-07, + "logits/chosen": -15.208805084228516, + "logits/rejected": -15.462963104248047, + "logps/chosen": -1.8320481777191162, + "logps/rejected": -2.23215651512146, + "loss": 2.9135, + "rewards/accuracies": 0.75, + "rewards/chosen": -18.320480346679688, + "rewards/margins": 4.001082420349121, + "rewards/rejected": -22.321565628051758, + "step": 135 + }, + { + "epoch": 0.4683598794662075, + "grad_norm": 145.99038790062517, + "learning_rate": 5.116426768805387e-07, + "logits/chosen": -14.624232292175293, + "logits/rejected": -14.728387832641602, + "logps/chosen": -2.1977291107177734, + "logps/rejected": -2.507412910461426, + "loss": 3.0741, + "rewards/accuracies": 0.8125, + "rewards/chosen": -21.977291107177734, + "rewards/margins": 3.096836566925049, + "rewards/rejected": -25.07413101196289, + "step": 136 + }, + { + "epoch": 0.47180370210934136, + "grad_norm": 148.12763051461735, + "learning_rate": 5.070113354116884e-07, + "logits/chosen": -15.4700927734375, + "logits/rejected": -15.196715354919434, + "logps/chosen": -1.5759204626083374, + "logps/rejected": -2.449571132659912, + "loss": 2.46, + "rewards/accuracies": 0.9375, + "rewards/chosen": -15.759203910827637, + "rewards/margins": 8.736505508422852, + "rewards/rejected": -24.495710372924805, + "step": 137 + }, + { + "epoch": 0.4752475247524752, + "grad_norm": 170.6076112934297, + "learning_rate": 5.023644899602871e-07, + "logits/chosen": -15.85372257232666, + "logits/rejected": -15.770110130310059, + "logps/chosen": -2.3490283489227295, + "logps/rejected": -2.6556615829467773, + "loss": 2.5731, + "rewards/accuracies": 0.625, + "rewards/chosen": -23.490280151367188, + "rewards/margins": 3.066333293914795, + "rewards/rejected": -26.556615829467773, + "step": 138 + }, + { + "epoch": 0.47869134739560915, + "grad_norm": 160.9701483874417, + "learning_rate": 4.977028137691324e-07, + "logits/chosen": -14.690975189208984, + "logits/rejected": -14.133597373962402, + "logps/chosen": -2.249864101409912, + "logps/rejected": -2.9582080841064453, + "loss": 2.6498, + "rewards/accuracies": 0.9375, + "rewards/chosen": -22.498640060424805, + "rewards/margins": 7.083439826965332, + "rewards/rejected": -29.582080841064453, + "step": 139 + }, + { + "epoch": 0.482135170038743, + "grad_norm": 140.63079154740615, + "learning_rate": 4.930269822297241e-07, + "logits/chosen": -15.633464813232422, + "logits/rejected": -15.003985404968262, + "logps/chosen": -1.8792824745178223, + "logps/rejected": -2.4007444381713867, + "loss": 3.0883, + "rewards/accuracies": 0.8125, + "rewards/chosen": -18.79282569885254, + "rewards/margins": 5.214618682861328, + "rewards/rejected": -24.0074462890625, + "step": 140 + }, + { + "epoch": 0.4855789926818769, + "grad_norm": 164.90245104113825, + "learning_rate": 4.883376727844129e-07, + "logits/chosen": -17.06644058227539, + "logits/rejected": -16.71479034423828, + "logps/chosen": -1.984204888343811, + "logps/rejected": -2.5203452110290527, + "loss": 3.2745, + "rewards/accuracies": 0.6875, + "rewards/chosen": -19.842050552368164, + "rewards/margins": 5.361400127410889, + "rewards/rejected": -25.203449249267578, + "step": 141 + }, + { + "epoch": 0.48902281532501074, + "grad_norm": 158.4727771377469, + "learning_rate": 4.836355648282509e-07, + "logits/chosen": -15.427898406982422, + "logits/rejected": -15.480656623840332, + "logps/chosen": -1.6626648902893066, + "logps/rejected": -2.4167871475219727, + "loss": 2.6222, + "rewards/accuracies": 0.875, + "rewards/chosen": -16.62664794921875, + "rewards/margins": 7.54122257232666, + "rewards/rejected": -24.16787338256836, + "step": 142 + }, + { + "epoch": 0.49246663796814466, + "grad_norm": 164.75096025896175, + "learning_rate": 4.7892133961056e-07, + "logits/chosen": -17.340797424316406, + "logits/rejected": -16.83738899230957, + "logps/chosen": -2.716911554336548, + "logps/rejected": -3.8089609146118164, + "loss": 3.2104, + "rewards/accuracies": 0.9375, + "rewards/chosen": -27.16911506652832, + "rewards/margins": 10.920495986938477, + "rewards/rejected": -38.08961486816406, + "step": 143 + }, + { + "epoch": 0.4959104606112785, + "grad_norm": 165.51865689779507, + "learning_rate": 4.7419568013623185e-07, + "logits/chosen": -17.844758987426758, + "logits/rejected": -17.37071418762207, + "logps/chosen": -2.3916749954223633, + "logps/rejected": -2.984015703201294, + "loss": 3.5064, + "rewards/accuracies": 0.75, + "rewards/chosen": -23.916751861572266, + "rewards/margins": 5.923404693603516, + "rewards/rejected": -29.84015655517578, + "step": 144 + }, + { + "epoch": 0.4993542832544124, + "grad_norm": 170.81988641182852, + "learning_rate": 4.694592710667722e-07, + "logits/chosen": -16.56422996520996, + "logits/rejected": -16.64710235595703, + "logps/chosen": -1.9375088214874268, + "logps/rejected": -2.7873284816741943, + "loss": 2.599, + "rewards/accuracies": 0.875, + "rewards/chosen": -19.375089645385742, + "rewards/margins": 8.498197555541992, + "rewards/rejected": -27.873287200927734, + "step": 145 + }, + { + "epoch": 0.5027981058975463, + "grad_norm": 152.83376641387204, + "learning_rate": 4.6471279862110594e-07, + "logits/chosen": -16.366130828857422, + "logits/rejected": -16.218612670898438, + "logps/chosen": -2.085256814956665, + "logps/rejected": -2.532078742980957, + "loss": 2.5765, + "rewards/accuracies": 0.75, + "rewards/chosen": -20.852569580078125, + "rewards/margins": 4.468219757080078, + "rewards/rejected": -25.320789337158203, + "step": 146 + }, + { + "epoch": 0.5062419285406802, + "grad_norm": 167.03745018894716, + "learning_rate": 4.5995695047615724e-07, + "logits/chosen": -16.575876235961914, + "logits/rejected": -16.29088020324707, + "logps/chosen": -1.7308956384658813, + "logps/rejected": -2.0768227577209473, + "loss": 3.2235, + "rewards/accuracies": 0.75, + "rewards/chosen": -17.308956146240234, + "rewards/margins": 3.459270477294922, + "rewards/rejected": -20.768226623535156, + "step": 147 + }, + { + "epoch": 0.509685751183814, + "grad_norm": 178.30073567921698, + "learning_rate": 4.5519241566721724e-07, + "logits/chosen": -15.774458885192871, + "logits/rejected": -15.673702239990234, + "logps/chosen": -2.2769925594329834, + "logps/rejected": -2.522907257080078, + "loss": 3.6175, + "rewards/accuracies": 0.75, + "rewards/chosen": -22.769929885864258, + "rewards/margins": 2.45914363861084, + "rewards/rejected": -25.229076385498047, + "step": 148 + }, + { + "epoch": 0.5131295738269479, + "grad_norm": 137.31263512738002, + "learning_rate": 4.5041988448811574e-07, + "logits/chosen": -15.081258773803711, + "logits/rejected": -15.273090362548828, + "logps/chosen": -1.8598787784576416, + "logps/rejected": -2.1195287704467773, + "loss": 2.687, + "rewards/accuracies": 0.6875, + "rewards/chosen": -18.598787307739258, + "rewards/margins": 2.596500873565674, + "rewards/rejected": -21.195289611816406, + "step": 149 + }, + { + "epoch": 0.5165733964700818, + "grad_norm": 125.93526672957817, + "learning_rate": 4.456400483912099e-07, + "logits/chosen": -16.464996337890625, + "logits/rejected": -16.59218978881836, + "logps/chosen": -2.1750199794769287, + "logps/rejected": -2.6353604793548584, + "loss": 2.8572, + "rewards/accuracies": 0.875, + "rewards/chosen": -21.750200271606445, + "rewards/margins": 4.603403568267822, + "rewards/rejected": -26.35360336303711, + "step": 150 + }, + { + "epoch": 0.5200172191132156, + "grad_norm": 142.20133174481876, + "learning_rate": 4.4085359988720583e-07, + "logits/chosen": -15.427270889282227, + "logits/rejected": -15.429370880126953, + "logps/chosen": -1.9908243417739868, + "logps/rejected": -2.447384834289551, + "loss": 2.1271, + "rewards/accuracies": 0.875, + "rewards/chosen": -19.908245086669922, + "rewards/margins": 4.565605163574219, + "rewards/rejected": -24.473848342895508, + "step": 151 + }, + { + "epoch": 0.5234610417563496, + "grad_norm": 149.43131783531857, + "learning_rate": 4.3606123244482615e-07, + "logits/chosen": -16.817100524902344, + "logits/rejected": -16.41914176940918, + "logps/chosen": -2.2302825450897217, + "logps/rejected": -3.1961381435394287, + "loss": 2.7684, + "rewards/accuracies": 0.8125, + "rewards/chosen": -22.302825927734375, + "rewards/margins": 9.658554077148438, + "rewards/rejected": -31.961380004882812, + "step": 152 + }, + { + "epoch": 0.5269048643994835, + "grad_norm": 175.08007654534825, + "learning_rate": 4.3126364039033934e-07, + "logits/chosen": -16.285236358642578, + "logits/rejected": -16.360095977783203, + "logps/chosen": -1.9334690570831299, + "logps/rejected": -2.5686261653900146, + "loss": 2.9525, + "rewards/accuracies": 0.6875, + "rewards/chosen": -19.33469009399414, + "rewards/margins": 6.3515706062316895, + "rewards/rejected": -25.686262130737305, + "step": 153 + }, + { + "epoch": 0.5303486870426173, + "grad_norm": 147.77300608746174, + "learning_rate": 4.2646151880696466e-07, + "logits/chosen": -15.203396797180176, + "logits/rejected": -15.251398086547852, + "logps/chosen": -2.082613945007324, + "logps/rejected": -2.380194664001465, + "loss": 3.1857, + "rewards/accuracies": 0.8125, + "rewards/chosen": -20.826141357421875, + "rewards/margins": 2.9758081436157227, + "rewards/rejected": -23.80194854736328, + "step": 154 + }, + { + "epoch": 0.5337925096857512, + "grad_norm": 191.413155487678, + "learning_rate": 4.21655563434167e-07, + "logits/chosen": -16.2647762298584, + "logits/rejected": -16.06024742126465, + "logps/chosen": -1.8659639358520508, + "logps/rejected": -2.6368792057037354, + "loss": 2.8876, + "rewards/accuracies": 0.875, + "rewards/chosen": -18.659639358520508, + "rewards/margins": 7.7091522216796875, + "rewards/rejected": -26.368793487548828, + "step": 155 + }, + { + "epoch": 0.537236332328885, + "grad_norm": 124.88412207047179, + "learning_rate": 4.16846470566857e-07, + "logits/chosen": -16.624813079833984, + "logits/rejected": -16.500511169433594, + "logps/chosen": -1.741891622543335, + "logps/rejected": -2.405266284942627, + "loss": 1.9418, + "rewards/accuracies": 0.8125, + "rewards/chosen": -17.418916702270508, + "rewards/margins": 6.633745193481445, + "rewards/rejected": -24.052661895751953, + "step": 156 + }, + { + "epoch": 0.5406801549720189, + "grad_norm": 141.77331157520445, + "learning_rate": 4.120349369545109e-07, + "logits/chosen": -15.149438858032227, + "logits/rejected": -15.287237167358398, + "logps/chosen": -2.173785448074341, + "logps/rejected": -3.180941104888916, + "loss": 2.7363, + "rewards/accuracies": 0.625, + "rewards/chosen": -21.73785400390625, + "rewards/margins": 10.071558952331543, + "rewards/rejected": -31.809410095214844, + "step": 157 + }, + { + "epoch": 0.5441239776151529, + "grad_norm": 155.44419089941894, + "learning_rate": 4.0722165970022414e-07, + "logits/chosen": -16.01889419555664, + "logits/rejected": -16.09550666809082, + "logps/chosen": -2.3958230018615723, + "logps/rejected": -2.5509209632873535, + "loss": 3.3508, + "rewards/accuracies": 0.5, + "rewards/chosen": -23.95823097229004, + "rewards/margins": 1.5509822368621826, + "rewards/rejected": -25.509214401245117, + "step": 158 + }, + { + "epoch": 0.5475678002582867, + "grad_norm": 129.29743296707403, + "learning_rate": 4.024073361597142e-07, + "logits/chosen": -17.30500030517578, + "logits/rejected": -16.847618103027344, + "logps/chosen": -2.4113364219665527, + "logps/rejected": -3.3326172828674316, + "loss": 2.5569, + "rewards/accuracies": 0.8125, + "rewards/chosen": -24.113361358642578, + "rewards/margins": 9.212811470031738, + "rewards/rejected": -33.326175689697266, + "step": 159 + }, + { + "epoch": 0.5510116229014206, + "grad_norm": 161.70130038708717, + "learning_rate": 3.9759266384028583e-07, + "logits/chosen": -15.621679306030273, + "logits/rejected": -15.098061561584473, + "logps/chosen": -2.271921157836914, + "logps/rejected": -2.7090096473693848, + "loss": 2.7771, + "rewards/accuracies": 0.625, + "rewards/chosen": -22.71921157836914, + "rewards/margins": 4.370884895324707, + "rewards/rejected": -27.090097427368164, + "step": 160 + }, + { + "epoch": 0.5544554455445545, + "grad_norm": 157.66640514865557, + "learning_rate": 3.927783402997757e-07, + "logits/chosen": -15.658122062683105, + "logits/rejected": -15.553414344787598, + "logps/chosen": -2.2297635078430176, + "logps/rejected": -2.9377989768981934, + "loss": 2.6828, + "rewards/accuracies": 0.8125, + "rewards/chosen": -22.29763412475586, + "rewards/margins": 7.080355644226074, + "rewards/rejected": -29.37799072265625, + "step": 161 + }, + { + "epoch": 0.5578992681876883, + "grad_norm": 135.88851128774647, + "learning_rate": 3.879650630454892e-07, + "logits/chosen": -16.659839630126953, + "logits/rejected": -16.298494338989258, + "logps/chosen": -2.3507156372070312, + "logps/rejected": -2.968364715576172, + "loss": 2.8013, + "rewards/accuracies": 0.875, + "rewards/chosen": -23.50715446472168, + "rewards/margins": 6.176491737365723, + "rewards/rejected": -29.683645248413086, + "step": 162 + }, + { + "epoch": 0.5613430908308222, + "grad_norm": 113.40296909004411, + "learning_rate": 3.83153529433143e-07, + "logits/chosen": -14.723609924316406, + "logits/rejected": -14.707221984863281, + "logps/chosen": -2.070491313934326, + "logps/rejected": -2.8369667530059814, + "loss": 2.4633, + "rewards/accuracies": 0.8125, + "rewards/chosen": -20.704910278320312, + "rewards/margins": 7.664756774902344, + "rewards/rejected": -28.369670867919922, + "step": 163 + }, + { + "epoch": 0.564786913473956, + "grad_norm": 158.36069390792653, + "learning_rate": 3.78344436565833e-07, + "logits/chosen": -16.133251190185547, + "logits/rejected": -15.6480712890625, + "logps/chosen": -2.447453498840332, + "logps/rejected": -3.0984373092651367, + "loss": 2.7807, + "rewards/accuracies": 0.75, + "rewards/chosen": -24.47453498840332, + "rewards/margins": 6.50984001159668, + "rewards/rejected": -30.984373092651367, + "step": 164 + }, + { + "epoch": 0.56823073611709, + "grad_norm": 144.30140846289407, + "learning_rate": 3.7353848119303536e-07, + "logits/chosen": -14.615021705627441, + "logits/rejected": -14.4873685836792, + "logps/chosen": -2.1710031032562256, + "logps/rejected": -3.150233030319214, + "loss": 2.3923, + "rewards/accuracies": 0.9375, + "rewards/chosen": -21.710033416748047, + "rewards/margins": 9.79229736328125, + "rewards/rejected": -31.502328872680664, + "step": 165 + }, + { + "epoch": 0.5716745587602239, + "grad_norm": 156.39504517806822, + "learning_rate": 3.687363596096607e-07, + "logits/chosen": -13.180891036987305, + "logits/rejected": -13.603325843811035, + "logps/chosen": -2.1853692531585693, + "logps/rejected": -2.7947943210601807, + "loss": 2.5098, + "rewards/accuracies": 0.8125, + "rewards/chosen": -21.85369300842285, + "rewards/margins": 6.09425163269043, + "rewards/rejected": -27.94794464111328, + "step": 166 + }, + { + "epoch": 0.5751183814033577, + "grad_norm": 189.2555316232527, + "learning_rate": 3.639387675551739e-07, + "logits/chosen": -16.535764694213867, + "logits/rejected": -16.17355728149414, + "logps/chosen": -2.0116500854492188, + "logps/rejected": -2.5565733909606934, + "loss": 2.8736, + "rewards/accuracies": 0.625, + "rewards/chosen": -20.11650276184082, + "rewards/margins": 5.449231147766113, + "rewards/rejected": -25.56573486328125, + "step": 167 + }, + { + "epoch": 0.5785622040464916, + "grad_norm": 168.96863729883424, + "learning_rate": 3.5914640011279424e-07, + "logits/chosen": -17.7143497467041, + "logits/rejected": -17.613689422607422, + "logps/chosen": -2.375505208969116, + "logps/rejected": -3.2843146324157715, + "loss": 1.8044, + "rewards/accuracies": 0.9375, + "rewards/chosen": -23.75505256652832, + "rewards/margins": 9.088095664978027, + "rewards/rejected": -32.84314727783203, + "step": 168 + }, + { + "epoch": 0.5820060266896255, + "grad_norm": 154.96333991867238, + "learning_rate": 3.543599516087901e-07, + "logits/chosen": -16.464033126831055, + "logits/rejected": -16.16067886352539, + "logps/chosen": -2.4366371631622314, + "logps/rejected": -2.9191558361053467, + "loss": 2.8393, + "rewards/accuracies": 0.75, + "rewards/chosen": -24.366371154785156, + "rewards/margins": 4.825188636779785, + "rewards/rejected": -29.191558837890625, + "step": 169 + }, + { + "epoch": 0.5854498493327593, + "grad_norm": 133.1585711778442, + "learning_rate": 3.495801155118843e-07, + "logits/chosen": -17.312694549560547, + "logits/rejected": -17.00650978088379, + "logps/chosen": -2.205974817276001, + "logps/rejected": -2.8471574783325195, + "loss": 2.1623, + "rewards/accuracies": 1.0, + "rewards/chosen": -22.059749603271484, + "rewards/margins": 6.411825656890869, + "rewards/rejected": -28.471574783325195, + "step": 170 + }, + { + "epoch": 0.5888936719758933, + "grad_norm": 161.54792608348458, + "learning_rate": 3.448075843327827e-07, + "logits/chosen": -16.923572540283203, + "logits/rejected": -16.892681121826172, + "logps/chosen": -2.1601150035858154, + "logps/rejected": -2.8166677951812744, + "loss": 2.3029, + "rewards/accuracies": 0.75, + "rewards/chosen": -21.601150512695312, + "rewards/margins": 6.56552791595459, + "rewards/rejected": -28.16668128967285, + "step": 171 + }, + { + "epoch": 0.5923374946190271, + "grad_norm": 147.52184027924474, + "learning_rate": 3.4004304952384283e-07, + "logits/chosen": -17.819061279296875, + "logits/rejected": -17.36820411682129, + "logps/chosen": -2.7700634002685547, + "logps/rejected": -3.871890068054199, + "loss": 2.3046, + "rewards/accuracies": 0.9375, + "rewards/chosen": -27.700634002685547, + "rewards/margins": 11.018264770507812, + "rewards/rejected": -38.71889877319336, + "step": 172 + }, + { + "epoch": 0.595781317262161, + "grad_norm": 133.0174741810263, + "learning_rate": 3.352872013788941e-07, + "logits/chosen": -15.862306594848633, + "logits/rejected": -15.657508850097656, + "logps/chosen": -1.8171809911727905, + "logps/rejected": -2.790759325027466, + "loss": 1.9991, + "rewards/accuracies": 0.875, + "rewards/chosen": -18.171810150146484, + "rewards/margins": 9.735782623291016, + "rewards/rejected": -27.907590866088867, + "step": 173 + }, + { + "epoch": 0.5992251399052949, + "grad_norm": 140.03974045337986, + "learning_rate": 3.3054072893322785e-07, + "logits/chosen": -18.625810623168945, + "logits/rejected": -18.38481330871582, + "logps/chosen": -2.596587896347046, + "logps/rejected": -2.94968843460083, + "loss": 2.901, + "rewards/accuracies": 0.6875, + "rewards/chosen": -25.965877532958984, + "rewards/margins": 3.5310049057006836, + "rewards/rejected": -29.496883392333984, + "step": 174 + }, + { + "epoch": 0.6026689625484287, + "grad_norm": 183.98457603492201, + "learning_rate": 3.258043198637682e-07, + "logits/chosen": -14.411111831665039, + "logits/rejected": -14.562616348266602, + "logps/chosen": -2.5059261322021484, + "logps/rejected": -3.6475634574890137, + "loss": 2.2702, + "rewards/accuracies": 0.875, + "rewards/chosen": -25.059261322021484, + "rewards/margins": 11.41637134552002, + "rewards/rejected": -36.47563171386719, + "step": 175 + }, + { + "epoch": 0.6061127851915626, + "grad_norm": 213.58061636651394, + "learning_rate": 3.2107866038944004e-07, + "logits/chosen": -18.129159927368164, + "logits/rejected": -18.01100730895996, + "logps/chosen": -3.2717809677124023, + "logps/rejected": -3.870783805847168, + "loss": 2.6386, + "rewards/accuracies": 0.875, + "rewards/chosen": -32.71781539916992, + "rewards/margins": 5.990023612976074, + "rewards/rejected": -38.70783615112305, + "step": 176 + }, + { + "epoch": 0.6095566078346966, + "grad_norm": 179.1745395557081, + "learning_rate": 3.163644351717492e-07, + "logits/chosen": -17.755756378173828, + "logits/rejected": -17.911243438720703, + "logps/chosen": -2.3970510959625244, + "logps/rejected": -3.1361923217773438, + "loss": 2.4945, + "rewards/accuracies": 0.75, + "rewards/chosen": -23.970510482788086, + "rewards/margins": 7.391412734985352, + "rewards/rejected": -31.36192512512207, + "step": 177 + }, + { + "epoch": 0.6130004304778304, + "grad_norm": 167.61011422532053, + "learning_rate": 3.1166232721558714e-07, + "logits/chosen": -17.961496353149414, + "logits/rejected": -18.155773162841797, + "logps/chosen": -2.3098530769348145, + "logps/rejected": -3.018498182296753, + "loss": 2.8513, + "rewards/accuracies": 0.75, + "rewards/chosen": -23.098527908325195, + "rewards/margins": 7.086452484130859, + "rewards/rejected": -30.184980392456055, + "step": 178 + }, + { + "epoch": 0.6164442531209643, + "grad_norm": 166.57075495491398, + "learning_rate": 3.069730177702759e-07, + "logits/chosen": -16.301759719848633, + "logits/rejected": -16.399494171142578, + "logps/chosen": -1.7774579524993896, + "logps/rejected": -3.1513190269470215, + "loss": 2.6985, + "rewards/accuracies": 0.875, + "rewards/chosen": -17.774578094482422, + "rewards/margins": 13.73861312866211, + "rewards/rejected": -31.51319122314453, + "step": 179 + }, + { + "epoch": 0.6198880757640981, + "grad_norm": 176.06415844976797, + "learning_rate": 3.022971862308676e-07, + "logits/chosen": -18.093582153320312, + "logits/rejected": -18.556367874145508, + "logps/chosen": -2.9991700649261475, + "logps/rejected": -3.220672845840454, + "loss": 3.4972, + "rewards/accuracies": 0.6875, + "rewards/chosen": -29.991701126098633, + "rewards/margins": 2.215024709701538, + "rewards/rejected": -32.20672607421875, + "step": 180 + }, + { + "epoch": 0.623331898407232, + "grad_norm": 165.59558701094664, + "learning_rate": 2.9763551003971285e-07, + "logits/chosen": -17.380640029907227, + "logits/rejected": -17.27768325805664, + "logps/chosen": -2.5434718132019043, + "logps/rejected": -3.3419389724731445, + "loss": 2.149, + "rewards/accuracies": 0.6875, + "rewards/chosen": -25.434715270996094, + "rewards/margins": 7.984673976898193, + "rewards/rejected": -33.41939163208008, + "step": 181 + }, + { + "epoch": 0.6267757210503659, + "grad_norm": 202.61030946129074, + "learning_rate": 2.929886645883117e-07, + "logits/chosen": -18.67276954650879, + "logits/rejected": -18.613061904907227, + "logps/chosen": -2.4041404724121094, + "logps/rejected": -3.169337749481201, + "loss": 3.206, + "rewards/accuracies": 0.875, + "rewards/chosen": -24.041404724121094, + "rewards/margins": 7.651971340179443, + "rewards/rejected": -31.693378448486328, + "step": 182 + }, + { + "epoch": 0.6302195436934998, + "grad_norm": 187.65675738898932, + "learning_rate": 2.883573231194613e-07, + "logits/chosen": -17.532236099243164, + "logits/rejected": -17.939956665039062, + "logps/chosen": -2.346766233444214, + "logps/rejected": -3.403451681137085, + "loss": 2.2531, + "rewards/accuracies": 0.875, + "rewards/chosen": -23.46766471862793, + "rewards/margins": 10.566852569580078, + "rewards/rejected": -34.034515380859375, + "step": 183 + }, + { + "epoch": 0.6336633663366337, + "grad_norm": 195.90592847716476, + "learning_rate": 2.837421566297156e-07, + "logits/chosen": -17.615713119506836, + "logits/rejected": -17.56720542907715, + "logps/chosen": -2.333320140838623, + "logps/rejected": -2.91764760017395, + "loss": 3.0132, + "rewards/accuracies": 0.625, + "rewards/chosen": -23.333202362060547, + "rewards/margins": 5.8432722091674805, + "rewards/rejected": -29.176475524902344, + "step": 184 + }, + { + "epoch": 0.6371071889797676, + "grad_norm": 183.34560091532057, + "learning_rate": 2.7914383377217083e-07, + "logits/chosen": -18.328622817993164, + "logits/rejected": -18.28988265991211, + "logps/chosen": -2.4505515098571777, + "logps/rejected": -3.1104087829589844, + "loss": 2.7728, + "rewards/accuracies": 0.6875, + "rewards/chosen": -24.50551414489746, + "rewards/margins": 6.598570823669434, + "rewards/rejected": -31.104084014892578, + "step": 185 + }, + { + "epoch": 0.6405510116229014, + "grad_norm": 143.6928758781207, + "learning_rate": 2.745630207595893e-07, + "logits/chosen": -17.590606689453125, + "logits/rejected": -17.842931747436523, + "logps/chosen": -2.3018007278442383, + "logps/rejected": -3.050802707672119, + "loss": 2.3707, + "rewards/accuracies": 0.875, + "rewards/chosen": -23.018009185791016, + "rewards/margins": 7.490016937255859, + "rewards/rejected": -30.508028030395508, + "step": 186 + }, + { + "epoch": 0.6439948342660353, + "grad_norm": 184.0549446666674, + "learning_rate": 2.70000381267877e-07, + "logits/chosen": -17.26044273376465, + "logits/rejected": -16.797651290893555, + "logps/chosen": -2.5893783569335938, + "logps/rejected": -3.3172554969787598, + "loss": 2.5419, + "rewards/accuracies": 0.8125, + "rewards/chosen": -25.893783569335938, + "rewards/margins": 7.278769016265869, + "rewards/rejected": -33.17255401611328, + "step": 187 + }, + { + "epoch": 0.6474386569091691, + "grad_norm": 162.70714561559674, + "learning_rate": 2.654565763399299e-07, + "logits/chosen": -17.615966796875, + "logits/rejected": -17.202425003051758, + "logps/chosen": -2.06203556060791, + "logps/rejected": -2.5958409309387207, + "loss": 2.3888, + "rewards/accuracies": 0.8125, + "rewards/chosen": -20.62035369873047, + "rewards/margins": 5.338054180145264, + "rewards/rejected": -25.958410263061523, + "step": 188 + }, + { + "epoch": 0.650882479552303, + "grad_norm": 211.4855934809745, + "learning_rate": 2.6093226428986103e-07, + "logits/chosen": -17.890888214111328, + "logits/rejected": -18.181949615478516, + "logps/chosen": -2.5792300701141357, + "logps/rejected": -2.9869372844696045, + "loss": 3.2394, + "rewards/accuracies": 0.625, + "rewards/chosen": -25.792301177978516, + "rewards/margins": 4.077073574066162, + "rewards/rejected": -29.869373321533203, + "step": 189 + }, + { + "epoch": 0.654326302195437, + "grad_norm": 241.71964487552518, + "learning_rate": 2.564281006076217e-07, + "logits/chosen": -17.281450271606445, + "logits/rejected": -17.177658081054688, + "logps/chosen": -2.0290184020996094, + "logps/rejected": -2.531289577484131, + "loss": 2.9749, + "rewards/accuracies": 0.625, + "rewards/chosen": -20.29018211364746, + "rewards/margins": 5.022716999053955, + "rewards/rejected": -25.31290054321289, + "step": 190 + }, + { + "epoch": 0.6577701248385708, + "grad_norm": 140.2272151723766, + "learning_rate": 2.519447378640342e-07, + "logits/chosen": -18.04941749572754, + "logits/rejected": -17.695268630981445, + "logps/chosen": -2.407273292541504, + "logps/rejected": -3.1553428173065186, + "loss": 2.5175, + "rewards/accuracies": 0.8125, + "rewards/chosen": -24.07273292541504, + "rewards/margins": 7.480693340301514, + "rewards/rejected": -31.553424835205078, + "step": 191 + }, + { + "epoch": 0.6612139474817047, + "grad_norm": 122.61240060144814, + "learning_rate": 2.4748282561624587e-07, + "logits/chosen": -18.940771102905273, + "logits/rejected": -19.209871292114258, + "logps/chosen": -2.9477639198303223, + "logps/rejected": -3.3782527446746826, + "loss": 2.231, + "rewards/accuracies": 0.8125, + "rewards/chosen": -29.47764015197754, + "rewards/margins": 4.304885387420654, + "rewards/rejected": -33.78252410888672, + "step": 192 + }, + { + "epoch": 0.6646577701248386, + "grad_norm": 154.6658255017087, + "learning_rate": 2.4304301031361993e-07, + "logits/chosen": -17.39430046081543, + "logits/rejected": -17.464357376098633, + "logps/chosen": -1.6274338960647583, + "logps/rejected": -2.39015531539917, + "loss": 2.0168, + "rewards/accuracies": 0.8125, + "rewards/chosen": -16.274337768554688, + "rewards/margins": 7.627217769622803, + "rewards/rejected": -23.901554107666016, + "step": 193 + }, + { + "epoch": 0.6681015927679724, + "grad_norm": 183.06073957842517, + "learning_rate": 2.386259352040766e-07, + "logits/chosen": -17.165082931518555, + "logits/rejected": -17.03466796875, + "logps/chosen": -2.3020198345184326, + "logps/rejected": -3.141963481903076, + "loss": 2.5949, + "rewards/accuracies": 0.9375, + "rewards/chosen": -23.020198822021484, + "rewards/margins": 8.399435997009277, + "rewards/rejected": -31.419633865356445, + "step": 194 + }, + { + "epoch": 0.6715454154111064, + "grad_norm": 195.7328576465893, + "learning_rate": 2.3423224024089924e-07, + "logits/chosen": -16.67756462097168, + "logits/rejected": -16.06248664855957, + "logps/chosen": -1.9835630655288696, + "logps/rejected": -2.165980815887451, + "loss": 2.8892, + "rewards/accuracies": 0.6875, + "rewards/chosen": -19.83563232421875, + "rewards/margins": 1.8241767883300781, + "rewards/rejected": -21.659809112548828, + "step": 195 + }, + { + "epoch": 0.6749892380542402, + "grad_norm": 185.40100121088884, + "learning_rate": 2.2986256199001607e-07, + "logits/chosen": -16.720062255859375, + "logits/rejected": -17.210546493530273, + "logps/chosen": -2.1794826984405518, + "logps/rejected": -3.011854887008667, + "loss": 3.2752, + "rewards/accuracies": 0.9375, + "rewards/chosen": -21.79482650756836, + "rewards/margins": 8.323722839355469, + "rewards/rejected": -30.118549346923828, + "step": 196 + }, + { + "epoch": 0.6784330606973741, + "grad_norm": 169.01081696151877, + "learning_rate": 2.2551753353777298e-07, + "logits/chosen": -16.483049392700195, + "logits/rejected": -15.803775787353516, + "logps/chosen": -1.923852562904358, + "logps/rejected": -2.4508516788482666, + "loss": 2.4423, + "rewards/accuracies": 0.8125, + "rewards/chosen": -19.238523483276367, + "rewards/margins": 5.269989967346191, + "rewards/rejected": -24.508514404296875, + "step": 197 + }, + { + "epoch": 0.681876883340508, + "grad_norm": 184.28493562958423, + "learning_rate": 2.2119778439921243e-07, + "logits/chosen": -17.207120895385742, + "logits/rejected": -17.228199005126953, + "logps/chosen": -2.1767778396606445, + "logps/rejected": -2.8498196601867676, + "loss": 2.6463, + "rewards/accuracies": 0.875, + "rewards/chosen": -21.767776489257812, + "rewards/margins": 6.730417251586914, + "rewards/rejected": -28.49819564819336, + "step": 198 + }, + { + "epoch": 0.6853207059836418, + "grad_norm": 185.34805729694065, + "learning_rate": 2.169039404268666e-07, + "logits/chosen": -15.101792335510254, + "logits/rejected": -15.015120506286621, + "logps/chosen": -1.9498858451843262, + "logps/rejected": -2.9745125770568848, + "loss": 2.4206, + "rewards/accuracies": 0.875, + "rewards/chosen": -19.498859405517578, + "rewards/margins": 10.246267318725586, + "rewards/rejected": -29.745128631591797, + "step": 199 + }, + { + "epoch": 0.6887645286267757, + "grad_norm": 171.9250040897193, + "learning_rate": 2.1263662372008397e-07, + "logits/chosen": -17.20707893371582, + "logits/rejected": -17.392990112304688, + "logps/chosen": -2.209491491317749, + "logps/rejected": -3.219839334487915, + "loss": 2.3084, + "rewards/accuracies": 0.875, + "rewards/chosen": -22.094913482666016, + "rewards/margins": 10.103475570678711, + "rewards/rejected": -32.19839096069336, + "step": 200 + }, + { + "epoch": 0.6922083512699096, + "grad_norm": 134.1599441897618, + "learning_rate": 2.0839645253489785e-07, + "logits/chosen": -17.15797233581543, + "logits/rejected": -17.089859008789062, + "logps/chosen": -2.460911512374878, + "logps/rejected": -3.360152244567871, + "loss": 2.7262, + "rewards/accuracies": 0.875, + "rewards/chosen": -24.60911750793457, + "rewards/margins": 8.992408752441406, + "rewards/rejected": -33.601524353027344, + "step": 201 + }, + { + "epoch": 0.6956521739130435, + "grad_norm": 225.89869134193762, + "learning_rate": 2.0418404119445257e-07, + "logits/chosen": -18.76146697998047, + "logits/rejected": -18.73739242553711, + "logps/chosen": -2.1693127155303955, + "logps/rejected": -2.5993404388427734, + "loss": 2.7532, + "rewards/accuracies": 0.75, + "rewards/chosen": -21.693126678466797, + "rewards/margins": 4.3002777099609375, + "rewards/rejected": -25.993404388427734, + "step": 202 + }, + { + "epoch": 0.6990959965561774, + "grad_norm": 168.18364451173605, + "learning_rate": 2.0000000000000007e-07, + "logits/chosen": -16.125919342041016, + "logits/rejected": -16.450841903686523, + "logps/chosen": -2.2542104721069336, + "logps/rejected": -2.954272985458374, + "loss": 2.3868, + "rewards/accuracies": 0.8125, + "rewards/chosen": -22.542104721069336, + "rewards/margins": 7.000626087188721, + "rewards/rejected": -29.542734146118164, + "step": 203 + }, + { + "epoch": 0.7025398191993112, + "grad_norm": 169.8912048470285, + "learning_rate": 1.9584493514247673e-07, + "logits/chosen": -15.31773567199707, + "logits/rejected": -15.480231285095215, + "logps/chosen": -2.3769216537475586, + "logps/rejected": -3.0659618377685547, + "loss": 2.829, + "rewards/accuracies": 0.75, + "rewards/chosen": -23.769216537475586, + "rewards/margins": 6.890398979187012, + "rewards/rejected": -30.65961456298828, + "step": 204 + }, + { + "epoch": 0.7059836418424451, + "grad_norm": 164.25344840367887, + "learning_rate": 1.91719448614679e-07, + "logits/chosen": -18.408157348632812, + "logits/rejected": -18.19486427307129, + "logps/chosen": -2.329998016357422, + "logps/rejected": -2.998572587966919, + "loss": 2.6702, + "rewards/accuracies": 0.75, + "rewards/chosen": -23.29998016357422, + "rewards/margins": 6.685744285583496, + "rewards/rejected": -29.9857234954834, + "step": 205 + }, + { + "epoch": 0.709427464485579, + "grad_norm": 160.2297179052625, + "learning_rate": 1.8762413812404537e-07, + "logits/chosen": -15.564806938171387, + "logits/rejected": -15.336395263671875, + "logps/chosen": -2.414278507232666, + "logps/rejected": -3.099297523498535, + "loss": 2.3344, + "rewards/accuracies": 0.875, + "rewards/chosen": -24.142784118652344, + "rewards/margins": 6.850188255310059, + "rewards/rejected": -30.992971420288086, + "step": 206 + }, + { + "epoch": 0.7128712871287128, + "grad_norm": 159.59891745599342, + "learning_rate": 1.8355959700605835e-07, + "logits/chosen": -16.28492546081543, + "logits/rejected": -15.95881462097168, + "logps/chosen": -2.8605947494506836, + "logps/rejected": -3.867330551147461, + "loss": 2.8207, + "rewards/accuracies": 0.9375, + "rewards/chosen": -28.60594367980957, + "rewards/margins": 10.067360877990723, + "rewards/rejected": -38.67330551147461, + "step": 207 + }, + { + "epoch": 0.7163151097718468, + "grad_norm": 138.3874486270341, + "learning_rate": 1.7952641413828285e-07, + "logits/chosen": -14.021824836730957, + "logits/rejected": -14.172553062438965, + "logps/chosen": -1.9960724115371704, + "logps/rejected": -2.703728199005127, + "loss": 2.7886, + "rewards/accuracies": 0.8125, + "rewards/chosen": -19.960723876953125, + "rewards/margins": 7.076559066772461, + "rewards/rejected": -27.037281036376953, + "step": 208 + }, + { + "epoch": 0.7197589324149807, + "grad_norm": 139.88886492945034, + "learning_rate": 1.755251738550471e-07, + "logits/chosen": -17.956972122192383, + "logits/rejected": -17.393238067626953, + "logps/chosen": -2.526200294494629, + "logps/rejected": -3.3326597213745117, + "loss": 2.5612, + "rewards/accuracies": 0.8125, + "rewards/chosen": -25.262001037597656, + "rewards/margins": 8.064594268798828, + "rewards/rejected": -33.32659149169922, + "step": 209 + }, + { + "epoch": 0.7232027550581145, + "grad_norm": 121.87663059806626, + "learning_rate": 1.7155645586278396e-07, + "logits/chosen": -16.801706314086914, + "logits/rejected": -17.29227638244629, + "logps/chosen": -2.4827024936676025, + "logps/rejected": -3.251868724822998, + "loss": 2.3086, + "rewards/accuracies": 1.0, + "rewards/chosen": -24.827022552490234, + "rewards/margins": 7.691664218902588, + "rewards/rejected": -32.5186882019043, + "step": 210 + }, + { + "epoch": 0.7266465777012484, + "grad_norm": 183.5598825145353, + "learning_rate": 1.6762083515604205e-07, + "logits/chosen": -16.376623153686523, + "logits/rejected": -16.853988647460938, + "logps/chosen": -2.1823861598968506, + "logps/rejected": -2.469951629638672, + "loss": 3.0611, + "rewards/accuracies": 0.625, + "rewards/chosen": -21.82386016845703, + "rewards/margins": 2.8756532669067383, + "rewards/rejected": -24.69951629638672, + "step": 211 + }, + { + "epoch": 0.7300904003443822, + "grad_norm": 140.6766155274216, + "learning_rate": 1.6371888193417962e-07, + "logits/chosen": -16.161523818969727, + "logits/rejected": -15.664430618286133, + "logps/chosen": -2.5164270401000977, + "logps/rejected": -3.5702481269836426, + "loss": 1.5852, + "rewards/accuracies": 0.8125, + "rewards/chosen": -25.16427230834961, + "rewards/margins": 10.538207054138184, + "rewards/rejected": -35.702476501464844, + "step": 212 + }, + { + "epoch": 0.7335342229875161, + "grad_norm": 145.77478214483807, + "learning_rate": 1.598511615187527e-07, + "logits/chosen": -16.284515380859375, + "logits/rejected": -15.916769027709961, + "logps/chosen": -1.8510792255401611, + "logps/rejected": -2.855922222137451, + "loss": 2.4349, + "rewards/accuracies": 0.8125, + "rewards/chosen": -18.51078987121582, + "rewards/margins": 10.048429489135742, + "rewards/rejected": -28.559221267700195, + "step": 213 + }, + { + "epoch": 0.7369780456306501, + "grad_norm": 165.3902758912234, + "learning_rate": 1.560182342716109e-07, + "logits/chosen": -16.97911834716797, + "logits/rejected": -17.0489444732666, + "logps/chosen": -2.855278253555298, + "logps/rejected": -3.1526296138763428, + "loss": 2.8624, + "rewards/accuracies": 0.75, + "rewards/chosen": -28.552780151367188, + "rewards/margins": 2.9735140800476074, + "rewards/rejected": -31.526294708251953, + "step": 214 + }, + { + "epoch": 0.7404218682737839, + "grad_norm": 169.1752973988815, + "learning_rate": 1.5222065551371078e-07, + "logits/chosen": -16.086669921875, + "logits/rejected": -15.614689826965332, + "logps/chosen": -2.2419023513793945, + "logps/rejected": -2.8294296264648438, + "loss": 2.1771, + "rewards/accuracies": 0.875, + "rewards/chosen": -22.41902732849121, + "rewards/margins": 5.875270843505859, + "rewards/rejected": -28.294296264648438, + "step": 215 + }, + { + "epoch": 0.7438656909169178, + "grad_norm": 175.5809330835783, + "learning_rate": 1.4845897544466062e-07, + "logits/chosen": -15.881332397460938, + "logits/rejected": -16.038084030151367, + "logps/chosen": -1.938501238822937, + "logps/rejected": -2.6783177852630615, + "loss": 2.5021, + "rewards/accuracies": 0.875, + "rewards/chosen": -19.385011672973633, + "rewards/margins": 7.398165702819824, + "rewards/rejected": -26.783178329467773, + "step": 216 + }, + { + "epoch": 0.7473095135600517, + "grad_norm": 138.7906401630708, + "learning_rate": 1.4473373906300576e-07, + "logits/chosen": -14.417771339416504, + "logits/rejected": -14.370369911193848, + "logps/chosen": -1.7395800352096558, + "logps/rejected": -2.279273271560669, + "loss": 2.329, + "rewards/accuracies": 0.875, + "rewards/chosen": -17.39579963684082, + "rewards/margins": 5.396934986114502, + "rewards/rejected": -22.79273223876953, + "step": 217 + }, + { + "epoch": 0.7507533362031855, + "grad_norm": 177.5157013301922, + "learning_rate": 1.4104548608726895e-07, + "logits/chosen": -17.694894790649414, + "logits/rejected": -17.320873260498047, + "logps/chosen": -2.5375585556030273, + "logps/rejected": -3.9845151901245117, + "loss": 2.2671, + "rewards/accuracies": 0.9375, + "rewards/chosen": -25.375581741333008, + "rewards/margins": 14.46957015991211, + "rewards/rejected": -39.84515380859375, + "step": 218 + }, + { + "epoch": 0.7541971588463194, + "grad_norm": 134.9327740603631, + "learning_rate": 1.3739475087775466e-07, + "logits/chosen": -15.686095237731934, + "logits/rejected": -15.889823913574219, + "logps/chosen": -2.468545913696289, + "logps/rejected": -2.932441234588623, + "loss": 2.5443, + "rewards/accuracies": 0.75, + "rewards/chosen": -24.685457229614258, + "rewards/margins": 4.638955116271973, + "rewards/rejected": -29.324413299560547, + "step": 219 + }, + { + "epoch": 0.7576409814894532, + "grad_norm": 135.47400869262708, + "learning_rate": 1.3378206235913028e-07, + "logits/chosen": -15.72805404663086, + "logits/rejected": -15.899078369140625, + "logps/chosen": -1.9772777557373047, + "logps/rejected": -2.4077036380767822, + "loss": 2.3468, + "rewards/accuracies": 0.6875, + "rewards/chosen": -19.77277946472168, + "rewards/margins": 4.304256916046143, + "rewards/rejected": -24.07703399658203, + "step": 220 + }, + { + "epoch": 0.7610848041325872, + "grad_norm": 162.24671967985978, + "learning_rate": 1.3020794394379447e-07, + "logits/chosen": -16.417884826660156, + "logits/rejected": -15.766003608703613, + "logps/chosen": -3.0476391315460205, + "logps/rejected": -4.174098491668701, + "loss": 2.7984, + "rewards/accuracies": 0.9375, + "rewards/chosen": -30.476388931274414, + "rewards/margins": 11.264592170715332, + "rewards/rejected": -41.74098205566406, + "step": 221 + }, + { + "epoch": 0.7645286267757211, + "grad_norm": 153.11579053938232, + "learning_rate": 1.2667291345604433e-07, + "logits/chosen": -16.348756790161133, + "logits/rejected": -16.798192977905273, + "logps/chosen": -2.2396018505096436, + "logps/rejected": -2.7667808532714844, + "loss": 2.4575, + "rewards/accuracies": 0.6875, + "rewards/chosen": -22.39601707458496, + "rewards/margins": 5.271792411804199, + "rewards/rejected": -27.66781234741211, + "step": 222 + }, + { + "epoch": 0.7679724494188549, + "grad_norm": 125.46348058673289, + "learning_rate": 1.2317748305705217e-07, + "logits/chosen": -17.994367599487305, + "logits/rejected": -18.30419921875, + "logps/chosen": -2.42231822013855, + "logps/rejected": -2.860621690750122, + "loss": 2.578, + "rewards/accuracies": 0.75, + "rewards/chosen": -24.223180770874023, + "rewards/margins": 4.383035659790039, + "rewards/rejected": -28.606216430664062, + "step": 223 + }, + { + "epoch": 0.7714162720619888, + "grad_norm": 130.3454994188522, + "learning_rate": 1.1972215917066307e-07, + "logits/chosen": -17.247783660888672, + "logits/rejected": -16.855878829956055, + "logps/chosen": -2.419665813446045, + "logps/rejected": -3.496854782104492, + "loss": 2.3658, + "rewards/accuracies": 0.875, + "rewards/chosen": -24.196657180786133, + "rewards/margins": 10.771889686584473, + "rewards/rejected": -34.968544006347656, + "step": 224 + }, + { + "epoch": 0.7748600947051227, + "grad_norm": 172.91319963893733, + "learning_rate": 1.1630744241002223e-07, + "logits/chosen": -17.969970703125, + "logits/rejected": -18.13035011291504, + "logps/chosen": -2.1760947704315186, + "logps/rejected": -2.7468371391296387, + "loss": 2.4968, + "rewards/accuracies": 0.8125, + "rewards/chosen": -21.760944366455078, + "rewards/margins": 5.707423210144043, + "rewards/rejected": -27.46837043762207, + "step": 225 + }, + { + "epoch": 0.7783039173482565, + "grad_norm": 113.76103569407015, + "learning_rate": 1.1293382750504688e-07, + "logits/chosen": -18.275222778320312, + "logits/rejected": -17.712696075439453, + "logps/chosen": -2.3341901302337646, + "logps/rejected": -3.101623773574829, + "loss": 2.1953, + "rewards/accuracies": 0.875, + "rewards/chosen": -23.341899871826172, + "rewards/margins": 7.674335479736328, + "rewards/rejected": -31.016237258911133, + "step": 226 + }, + { + "epoch": 0.7817477399913905, + "grad_norm": 132.91068429588344, + "learning_rate": 1.0960180323074774e-07, + "logits/chosen": -18.44281578063965, + "logits/rejected": -18.48580551147461, + "logps/chosen": -2.326096296310425, + "logps/rejected": -3.35933518409729, + "loss": 1.9983, + "rewards/accuracies": 0.875, + "rewards/chosen": -23.260963439941406, + "rewards/margins": 10.332388877868652, + "rewards/rejected": -33.593353271484375, + "step": 227 + }, + { + "epoch": 0.7851915626345243, + "grad_norm": 148.59038179673675, + "learning_rate": 1.0631185233641474e-07, + "logits/chosen": -18.724830627441406, + "logits/rejected": -18.60055923461914, + "logps/chosen": -2.2051844596862793, + "logps/rejected": -3.1807661056518555, + "loss": 2.2086, + "rewards/accuracies": 0.8125, + "rewards/chosen": -22.05184555053711, + "rewards/margins": 9.755819320678711, + "rewards/rejected": -31.80766487121582, + "step": 228 + }, + { + "epoch": 0.7886353852776582, + "grad_norm": 168.3363506588075, + "learning_rate": 1.0306445147567604e-07, + "logits/chosen": -16.910625457763672, + "logits/rejected": -17.089317321777344, + "logps/chosen": -2.1940903663635254, + "logps/rejected": -2.7529542446136475, + "loss": 3.2585, + "rewards/accuracies": 0.75, + "rewards/chosen": -21.940902709960938, + "rewards/margins": 5.588636875152588, + "rewards/rejected": -27.529541015625, + "step": 229 + }, + { + "epoch": 0.7920792079207921, + "grad_norm": 140.0112579178903, + "learning_rate": 9.986007113743906e-08, + "logits/chosen": -17.158119201660156, + "logits/rejected": -17.688983917236328, + "logps/chosen": -2.0375654697418213, + "logps/rejected": -2.7925596237182617, + "loss": 2.1608, + "rewards/accuracies": 0.8125, + "rewards/chosen": -20.375656127929688, + "rewards/margins": 7.549938201904297, + "rewards/rejected": -27.925594329833984, + "step": 230 + }, + { + "epoch": 0.7955230305639259, + "grad_norm": 147.83687034828287, + "learning_rate": 9.669917557772542e-08, + "logits/chosen": -17.468488693237305, + "logits/rejected": -17.5322208404541, + "logps/chosen": -2.3444223403930664, + "logps/rejected": -2.8957479000091553, + "loss": 2.1804, + "rewards/accuracies": 0.8125, + "rewards/chosen": -23.44422149658203, + "rewards/margins": 5.513256549835205, + "rewards/rejected": -28.95747947692871, + "step": 231 + }, + { + "epoch": 0.7989668532070598, + "grad_norm": 182.36869206020535, + "learning_rate": 9.358222275240884e-08, + "logits/chosen": -17.69605255126953, + "logits/rejected": -17.339937210083008, + "logps/chosen": -2.6390442848205566, + "logps/rejected": -3.474766254425049, + "loss": 2.8717, + "rewards/accuracies": 0.8125, + "rewards/chosen": -26.39044189453125, + "rewards/margins": 8.357217788696289, + "rewards/rejected": -34.74766159057617, + "step": 232 + }, + { + "epoch": 0.8024106758501938, + "grad_norm": 253.44665519838688, + "learning_rate": 9.050966425086546e-08, + "logits/chosen": -17.90776252746582, + "logits/rejected": -18.13881492614746, + "logps/chosen": -2.3884530067443848, + "logps/rejected": -3.7100043296813965, + "loss": 3.4066, + "rewards/accuracies": 0.875, + "rewards/chosen": -23.884531021118164, + "rewards/margins": 13.215514183044434, + "rewards/rejected": -37.10004425048828, + "step": 233 + }, + { + "epoch": 0.8058544984933276, + "grad_norm": 133.61246579427012, + "learning_rate": 8.748194523054748e-08, + "logits/chosen": -17.281970977783203, + "logits/rejected": -17.455997467041016, + "logps/chosen": -2.43415904045105, + "logps/rejected": -3.0494344234466553, + "loss": 1.9898, + "rewards/accuracies": 0.8125, + "rewards/chosen": -24.341590881347656, + "rewards/margins": 6.152754783630371, + "rewards/rejected": -30.49434471130371, + "step": 234 + }, + { + "epoch": 0.8092983211364615, + "grad_norm": 147.12423003196992, + "learning_rate": 8.449950435248676e-08, + "logits/chosen": -17.537288665771484, + "logits/rejected": -17.6503963470459, + "logps/chosen": -2.411252737045288, + "logps/rejected": -2.5560195446014404, + "loss": 2.959, + "rewards/accuracies": 0.625, + "rewards/chosen": -24.11252784729004, + "rewards/margins": 1.447667121887207, + "rewards/rejected": -25.56019401550293, + "step": 235 + }, + { + "epoch": 0.8127421437795953, + "grad_norm": 173.4351632725469, + "learning_rate": 8.15627737177425e-08, + "logits/chosen": -15.300152778625488, + "logits/rejected": -14.813128471374512, + "logps/chosen": -2.2649199962615967, + "logps/rejected": -3.06396222114563, + "loss": 3.1114, + "rewards/accuracies": 0.8125, + "rewards/chosen": -22.649198532104492, + "rewards/margins": 7.99042272567749, + "rewards/rejected": -30.63962173461914, + "step": 236 + }, + { + "epoch": 0.8161859664227292, + "grad_norm": 148.7657685969793, + "learning_rate": 7.867217880479629e-08, + "logits/chosen": -15.767210006713867, + "logits/rejected": -15.650933265686035, + "logps/chosen": -2.087116003036499, + "logps/rejected": -3.3104443550109863, + "loss": 2.4406, + "rewards/accuracies": 0.8125, + "rewards/chosen": -20.87116241455078, + "rewards/margins": 12.23327922821045, + "rewards/rejected": -33.10444259643555, + "step": 237 + }, + { + "epoch": 0.8196297890658631, + "grad_norm": 151.07749718687427, + "learning_rate": 7.582813840790847e-08, + "logits/chosen": -15.618885040283203, + "logits/rejected": -15.997750282287598, + "logps/chosen": -2.0786385536193848, + "logps/rejected": -2.7961952686309814, + "loss": 2.7965, + "rewards/accuracies": 0.6875, + "rewards/chosen": -20.786386489868164, + "rewards/margins": 7.175565719604492, + "rewards/rejected": -27.96195411682129, + "step": 238 + }, + { + "epoch": 0.823073611708997, + "grad_norm": 144.2174329571498, + "learning_rate": 7.303106457644328e-08, + "logits/chosen": -16.712963104248047, + "logits/rejected": -16.825284957885742, + "logps/chosen": -2.238386392593384, + "logps/rejected": -3.5630311965942383, + "loss": 2.8129, + "rewards/accuracies": 1.0, + "rewards/chosen": -22.383865356445312, + "rewards/margins": 13.246443748474121, + "rewards/rejected": -35.63031005859375, + "step": 239 + }, + { + "epoch": 0.8265174343521309, + "grad_norm": 169.73215342488882, + "learning_rate": 7.028136255516938e-08, + "logits/chosen": -18.084627151489258, + "logits/rejected": -18.091758728027344, + "logps/chosen": -3.0889220237731934, + "logps/rejected": -3.6106934547424316, + "loss": 2.5796, + "rewards/accuracies": 0.875, + "rewards/chosen": -30.88922119140625, + "rewards/margins": 5.217716693878174, + "rewards/rejected": -36.106937408447266, + "step": 240 + }, + { + "epoch": 0.8299612569952648, + "grad_norm": 149.39660539357982, + "learning_rate": 6.75794307255479e-08, + "logits/chosen": -17.41098976135254, + "logits/rejected": -17.147449493408203, + "logps/chosen": -2.440295457839966, + "logps/rejected": -3.6117165088653564, + "loss": 2.1983, + "rewards/accuracies": 0.9375, + "rewards/chosen": -24.4029541015625, + "rewards/margins": 11.714213371276855, + "rewards/rejected": -36.11716842651367, + "step": 241 + }, + { + "epoch": 0.8334050796383986, + "grad_norm": 154.41052222889476, + "learning_rate": 6.492566054801414e-08, + "logits/chosen": -17.25594139099121, + "logits/rejected": -17.346635818481445, + "logps/chosen": -2.8043160438537598, + "logps/rejected": -3.589071750640869, + "loss": 2.6675, + "rewards/accuracies": 0.9375, + "rewards/chosen": -28.04315948486328, + "rewards/margins": 7.847556114196777, + "rewards/rejected": -35.890716552734375, + "step": 242 + }, + { + "epoch": 0.8368489022815325, + "grad_norm": 144.1864772937289, + "learning_rate": 6.232043650526195e-08, + "logits/chosen": -19.001102447509766, + "logits/rejected": -19.054353713989258, + "logps/chosen": -2.5245139598846436, + "logps/rejected": -2.9145162105560303, + "loss": 2.6573, + "rewards/accuracies": 0.75, + "rewards/chosen": -25.245140075683594, + "rewards/margins": 3.9000210762023926, + "rewards/rejected": -29.145160675048828, + "step": 243 + }, + { + "epoch": 0.8402927249246663, + "grad_norm": 159.15922893834966, + "learning_rate": 5.976413604653978e-08, + "logits/chosen": -16.62332534790039, + "logits/rejected": -17.053430557250977, + "logps/chosen": -2.617964267730713, + "logps/rejected": -3.058418035507202, + "loss": 2.3253, + "rewards/accuracies": 0.875, + "rewards/chosen": -26.179641723632812, + "rewards/margins": 4.404535293579102, + "rewards/rejected": -30.58417510986328, + "step": 244 + }, + { + "epoch": 0.8437365475678003, + "grad_norm": 140.0984307995632, + "learning_rate": 5.725712953296438e-08, + "logits/chosen": -15.821372985839844, + "logits/rejected": -15.742339134216309, + "logps/chosen": -1.8620578050613403, + "logps/rejected": -2.808138847351074, + "loss": 2.4966, + "rewards/accuracies": 0.9375, + "rewards/chosen": -18.62057876586914, + "rewards/margins": 9.460811614990234, + "rewards/rejected": -28.081388473510742, + "step": 245 + }, + { + "epoch": 0.8471803702109342, + "grad_norm": 147.6831357797836, + "learning_rate": 5.479978018386275e-08, + "logits/chosen": -17.423532485961914, + "logits/rejected": -17.499662399291992, + "logps/chosen": -2.267676591873169, + "logps/rejected": -2.954185962677002, + "loss": 2.4517, + "rewards/accuracies": 0.8125, + "rewards/chosen": -22.676767349243164, + "rewards/margins": 6.8650922775268555, + "rewards/rejected": -29.541858673095703, + "step": 246 + }, + { + "epoch": 0.850624192854068, + "grad_norm": 146.93865641824823, + "learning_rate": 5.23924440241486e-08, + "logits/chosen": -17.467391967773438, + "logits/rejected": -17.293798446655273, + "logps/chosen": -2.765316963195801, + "logps/rejected": -3.1737022399902344, + "loss": 3.1905, + "rewards/accuracies": 0.6875, + "rewards/chosen": -27.65317153930664, + "rewards/margins": 4.083853244781494, + "rewards/rejected": -31.737022399902344, + "step": 247 + }, + { + "epoch": 0.8540680154972019, + "grad_norm": 128.25480467364565, + "learning_rate": 5.003546983274014e-08, + "logits/chosen": -17.457887649536133, + "logits/rejected": -17.364229202270508, + "logps/chosen": -2.2277069091796875, + "logps/rejected": -3.1269993782043457, + "loss": 2.1543, + "rewards/accuracies": 0.8125, + "rewards/chosen": -22.277069091796875, + "rewards/margins": 8.992926597595215, + "rewards/rejected": -31.26999282836914, + "step": 248 + }, + { + "epoch": 0.8575118381403358, + "grad_norm": 126.61876835603796, + "learning_rate": 4.77291990920289e-08, + "logits/chosen": -15.818652153015137, + "logits/rejected": -15.359832763671875, + "logps/chosen": -1.8357523679733276, + "logps/rejected": -2.8696041107177734, + "loss": 2.5736, + "rewards/accuracies": 0.875, + "rewards/chosen": -18.357524871826172, + "rewards/margins": 10.33851432800293, + "rewards/rejected": -28.69603729248047, + "step": 249 + }, + { + "epoch": 0.8609556607834696, + "grad_norm": 147.3951096860917, + "learning_rate": 4.5473965938405e-08, + "logits/chosen": -17.267982482910156, + "logits/rejected": -17.239002227783203, + "logps/chosen": -2.3899097442626953, + "logps/rejected": -3.6304116249084473, + "loss": 2.1633, + "rewards/accuracies": 0.9375, + "rewards/chosen": -23.899097442626953, + "rewards/margins": 12.405017852783203, + "rewards/rejected": -36.304115295410156, + "step": 250 + }, + { + "epoch": 0.8643994834266036, + "grad_norm": 131.8214642518433, + "learning_rate": 4.32700971138471e-08, + "logits/chosen": -16.42135238647461, + "logits/rejected": -17.10132598876953, + "logps/chosen": -2.0020933151245117, + "logps/rejected": -2.6545495986938477, + "loss": 2.1802, + "rewards/accuracies": 0.75, + "rewards/chosen": -20.02093505859375, + "rewards/margins": 6.524560928344727, + "rewards/rejected": -26.54549789428711, + "step": 251 + }, + { + "epoch": 0.8678433060697374, + "grad_norm": 129.82185059004897, + "learning_rate": 4.11179119185832e-08, + "logits/chosen": -15.84195327758789, + "logits/rejected": -15.13234806060791, + "logps/chosen": -2.1187713146209717, + "logps/rejected": -3.074852228164673, + "loss": 2.0957, + "rewards/accuracies": 0.8125, + "rewards/chosen": -21.187713623046875, + "rewards/margins": 9.560807228088379, + "rewards/rejected": -30.748519897460938, + "step": 252 + }, + { + "epoch": 0.8712871287128713, + "grad_norm": 147.62415325752085, + "learning_rate": 3.9017722164830014e-08, + "logits/chosen": -15.684465408325195, + "logits/rejected": -15.583179473876953, + "logps/chosen": -2.2432422637939453, + "logps/rejected": -3.128464698791504, + "loss": 2.2196, + "rewards/accuracies": 0.8125, + "rewards/chosen": -22.432418823242188, + "rewards/margins": 8.852226257324219, + "rewards/rejected": -31.284645080566406, + "step": 253 + }, + { + "epoch": 0.8747309513560052, + "grad_norm": 129.59541911753672, + "learning_rate": 3.696983213161724e-08, + "logits/chosen": -16.10622215270996, + "logits/rejected": -15.97018814086914, + "logps/chosen": -2.268676519393921, + "logps/rejected": -3.3363349437713623, + "loss": 1.8693, + "rewards/accuracies": 0.9375, + "rewards/chosen": -22.686765670776367, + "rewards/margins": 10.676584243774414, + "rewards/rejected": -33.363346099853516, + "step": 254 + }, + { + "epoch": 0.878174773999139, + "grad_norm": 137.48943851483648, + "learning_rate": 3.4974538520702756e-08, + "logits/chosen": -14.73385238647461, + "logits/rejected": -14.685803413391113, + "logps/chosen": -2.011627197265625, + "logps/rejected": -2.8314733505249023, + "loss": 2.1826, + "rewards/accuracies": 0.875, + "rewards/chosen": -20.11627197265625, + "rewards/margins": 8.198460578918457, + "rewards/rejected": -28.314733505249023, + "step": 255 + }, + { + "epoch": 0.8816185966422729, + "grad_norm": 159.72968498568136, + "learning_rate": 3.303213041358628e-08, + "logits/chosen": -16.42586898803711, + "logits/rejected": -16.5064697265625, + "logps/chosen": -2.3388772010803223, + "logps/rejected": -3.104121208190918, + "loss": 2.3098, + "rewards/accuracies": 0.625, + "rewards/chosen": -23.388771057128906, + "rewards/margins": 7.652439117431641, + "rewards/rejected": -31.041210174560547, + "step": 256 + }, + { + "epoch": 0.8850624192854069, + "grad_norm": 139.996512233341, + "learning_rate": 3.114288922962673e-08, + "logits/chosen": -15.805761337280273, + "logits/rejected": -15.97050666809082, + "logps/chosen": -2.2719080448150635, + "logps/rejected": -2.8697736263275146, + "loss": 1.9082, + "rewards/accuracies": 0.75, + "rewards/chosen": -22.719078063964844, + "rewards/margins": 5.9786577224731445, + "rewards/rejected": -28.697734832763672, + "step": 257 + }, + { + "epoch": 0.8885062419285407, + "grad_norm": 142.0757665384917, + "learning_rate": 2.9307088685269544e-08, + "logits/chosen": -16.687719345092773, + "logits/rejected": -16.818946838378906, + "logps/chosen": -2.10107421875, + "logps/rejected": -2.945895195007324, + "loss": 2.0949, + "rewards/accuracies": 0.8125, + "rewards/chosen": -21.010740280151367, + "rewards/margins": 8.448209762573242, + "rewards/rejected": -29.45895004272461, + "step": 258 + }, + { + "epoch": 0.8919500645716746, + "grad_norm": 132.30438095070775, + "learning_rate": 2.7524994754390206e-08, + "logits/chosen": -18.812986373901367, + "logits/rejected": -18.67325210571289, + "logps/chosen": -2.727328300476074, + "logps/rejected": -3.1050448417663574, + "loss": 2.0166, + "rewards/accuracies": 0.8125, + "rewards/chosen": -27.27328109741211, + "rewards/margins": 3.7771661281585693, + "rewards/rejected": -31.050447463989258, + "step": 259 + }, + { + "epoch": 0.8953938872148084, + "grad_norm": 146.74697878065496, + "learning_rate": 2.5796865629759622e-08, + "logits/chosen": -16.785795211791992, + "logits/rejected": -16.06755256652832, + "logps/chosen": -2.190410852432251, + "logps/rejected": -3.289196014404297, + "loss": 2.7578, + "rewards/accuracies": 0.6875, + "rewards/chosen": -21.90410614013672, + "rewards/margins": 10.987853050231934, + "rewards/rejected": -32.89196014404297, + "step": 260 + }, + { + "epoch": 0.8988377098579423, + "grad_norm": 206.78249442348837, + "learning_rate": 2.4122951685636674e-08, + "logits/chosen": -16.686670303344727, + "logits/rejected": -16.18621826171875, + "logps/chosen": -2.611176013946533, + "logps/rejected": -3.921743869781494, + "loss": 3.0397, + "rewards/accuracies": 1.0, + "rewards/chosen": -26.11176109313965, + "rewards/margins": 13.10567855834961, + "rewards/rejected": -39.217437744140625, + "step": 261 + }, + { + "epoch": 0.9022815325010762, + "grad_norm": 1949.594124426928, + "learning_rate": 2.2503495441493503e-08, + "logits/chosen": -16.57187271118164, + "logits/rejected": -16.915918350219727, + "logps/chosen": -1.6403616666793823, + "logps/rejected": -2.541311740875244, + "loss": 2.0577, + "rewards/accuracies": 0.875, + "rewards/chosen": -16.40361785888672, + "rewards/margins": 9.009501457214355, + "rewards/rejected": -25.41312026977539, + "step": 262 + }, + { + "epoch": 0.90572535514421, + "grad_norm": 144.45425989954398, + "learning_rate": 2.093873152687906e-08, + "logits/chosen": -16.985397338867188, + "logits/rejected": -16.533916473388672, + "logps/chosen": -2.0635147094726562, + "logps/rejected": -3.0182905197143555, + "loss": 2.2249, + "rewards/accuracies": 1.0, + "rewards/chosen": -20.635149002075195, + "rewards/margins": 9.547759056091309, + "rewards/rejected": -30.18290901184082, + "step": 263 + }, + { + "epoch": 0.909169177787344, + "grad_norm": 161.70566070216898, + "learning_rate": 1.9428886647425214e-08, + "logits/chosen": -18.097816467285156, + "logits/rejected": -17.79208755493164, + "logps/chosen": -2.152082681655884, + "logps/rejected": -2.9253194332122803, + "loss": 2.632, + "rewards/accuracies": 0.75, + "rewards/chosen": -21.52082633972168, + "rewards/margins": 7.732368469238281, + "rewards/rejected": -29.253196716308594, + "step": 264 + }, + { + "epoch": 0.9126130004304779, + "grad_norm": 129.93371206599926, + "learning_rate": 1.7974179552001866e-08, + "logits/chosen": -17.505081176757812, + "logits/rejected": -17.78946304321289, + "logps/chosen": -2.234717845916748, + "logps/rejected": -2.539454936981201, + "loss": 2.4342, + "rewards/accuracies": 0.6875, + "rewards/chosen": -22.347179412841797, + "rewards/margins": 3.0473670959472656, + "rewards/rejected": -25.394546508789062, + "step": 265 + }, + { + "epoch": 0.9160568230736117, + "grad_norm": 151.94990436818313, + "learning_rate": 1.6574821001023474e-08, + "logits/chosen": -18.333892822265625, + "logits/rejected": -18.197607040405273, + "logps/chosen": -1.9889158010482788, + "logps/rejected": -2.735637903213501, + "loss": 2.2676, + "rewards/accuracies": 0.9375, + "rewards/chosen": -19.889158248901367, + "rewards/margins": 7.467221260070801, + "rewards/rejected": -27.356380462646484, + "step": 266 + }, + { + "epoch": 0.9195006457167456, + "grad_norm": 157.25320445860555, + "learning_rate": 1.5231013735914444e-08, + "logits/chosen": -16.340839385986328, + "logits/rejected": -16.46707534790039, + "logps/chosen": -2.3339834213256836, + "logps/rejected": -2.750584840774536, + "loss": 2.4662, + "rewards/accuracies": 0.5625, + "rewards/chosen": -23.339832305908203, + "rewards/margins": 4.166016101837158, + "rewards/rejected": -27.50585174560547, + "step": 267 + }, + { + "epoch": 0.9229444683598794, + "grad_norm": 153.71273684620283, + "learning_rate": 1.3942952449735201e-08, + "logits/chosen": -17.994409561157227, + "logits/rejected": -17.976512908935547, + "logps/chosen": -2.3722710609436035, + "logps/rejected": -3.688662528991699, + "loss": 2.6692, + "rewards/accuracies": 0.875, + "rewards/chosen": -23.722707748413086, + "rewards/margins": 13.163920402526855, + "rewards/rejected": -36.886627197265625, + "step": 268 + }, + { + "epoch": 0.9263882910030133, + "grad_norm": 159.9085920533978, + "learning_rate": 1.2710823758974676e-08, + "logits/chosen": -17.915321350097656, + "logits/rejected": -17.735774993896484, + "logps/chosen": -2.341430425643921, + "logps/rejected": -3.303116798400879, + "loss": 2.5158, + "rewards/accuracies": 0.8125, + "rewards/chosen": -23.414304733276367, + "rewards/margins": 9.616860389709473, + "rewards/rejected": -33.031166076660156, + "step": 269 + }, + { + "epoch": 0.9298321136461473, + "grad_norm": 173.1432244469156, + "learning_rate": 1.1534806176513434e-08, + "logits/chosen": -17.020999908447266, + "logits/rejected": -16.834182739257812, + "logps/chosen": -3.0662012100219727, + "logps/rejected": -4.367783546447754, + "loss": 2.8725, + "rewards/accuracies": 0.75, + "rewards/chosen": -30.66200828552246, + "rewards/margins": 13.01583194732666, + "rewards/rejected": -43.67784118652344, + "step": 270 + }, + { + "epoch": 0.9332759362892811, + "grad_norm": 175.82982939834184, + "learning_rate": 1.0415070085759925e-08, + "logits/chosen": -18.364770889282227, + "logits/rejected": -17.562824249267578, + "logps/chosen": -1.9744817018508911, + "logps/rejected": -2.404961347579956, + "loss": 2.7178, + "rewards/accuracies": 0.9375, + "rewards/chosen": -19.744815826416016, + "rewards/margins": 4.304797172546387, + "rewards/rejected": -24.049612045288086, + "step": 271 + }, + { + "epoch": 0.936719758932415, + "grad_norm": 138.65454205055815, + "learning_rate": 9.351777715965337e-09, + "logits/chosen": -18.179439544677734, + "logits/rejected": -18.3562068939209, + "logps/chosen": -2.5122263431549072, + "logps/rejected": -2.9324097633361816, + "loss": 2.0112, + "rewards/accuracies": 0.625, + "rewards/chosen": -25.122264862060547, + "rewards/margins": 4.2018327713012695, + "rewards/rejected": -29.3240966796875, + "step": 272 + }, + { + "epoch": 0.9401635815755489, + "grad_norm": 166.37792305846952, + "learning_rate": 8.345083118719509e-09, + "logits/chosen": -17.025907516479492, + "logits/rejected": -16.50684928894043, + "logps/chosen": -2.3154404163360596, + "logps/rejected": -3.7841498851776123, + "loss": 2.4035, + "rewards/accuracies": 0.875, + "rewards/chosen": -23.154401779174805, + "rewards/margins": 14.68709659576416, + "rewards/rejected": -37.84150314331055, + "step": 273 + }, + { + "epoch": 0.9436074042186827, + "grad_norm": 156.2441873918835, + "learning_rate": 7.395132145631544e-09, + "logits/chosen": -16.066808700561523, + "logits/rejected": -15.90978717803955, + "logps/chosen": -1.8371270895004272, + "logps/rejected": -2.678525924682617, + "loss": 2.0809, + "rewards/accuracies": 0.875, + "rewards/chosen": -18.37127113342285, + "rewards/margins": 8.413987159729004, + "rewards/rejected": -26.785259246826172, + "step": 274 + }, + { + "epoch": 0.9470512268618166, + "grad_norm": 153.24700496665506, + "learning_rate": 6.502062427198929e-09, + "logits/chosen": -17.553876876831055, + "logits/rejected": -17.5835018157959, + "logps/chosen": -2.4539918899536133, + "logps/rejected": -3.212017774581909, + "loss": 2.8158, + "rewards/accuracies": 0.875, + "rewards/chosen": -24.539915084838867, + "rewards/margins": 7.580263137817383, + "rewards/rejected": -32.12017822265625, + "step": 275 + }, + { + "epoch": 0.9504950495049505, + "grad_norm": 143.41309705270993, + "learning_rate": 5.666003352866733e-09, + "logits/chosen": -16.96306610107422, + "logits/rejected": -17.010374069213867, + "logps/chosen": -2.3547351360321045, + "logps/rejected": -3.560419797897339, + "loss": 2.1713, + "rewards/accuracies": 1.0, + "rewards/chosen": -23.547353744506836, + "rewards/margins": 12.056845664978027, + "rewards/rejected": -35.60419845581055, + "step": 276 + }, + { + "epoch": 0.9539388721480844, + "grad_norm": 127.28128452614312, + "learning_rate": 4.887076052282291e-09, + "logits/chosen": -16.996347427368164, + "logits/rejected": -17.045413970947266, + "logps/chosen": -2.568338394165039, + "logps/rejected": -3.7449233531951904, + "loss": 2.2934, + "rewards/accuracies": 0.75, + "rewards/chosen": -25.68338394165039, + "rewards/margins": 11.765849113464355, + "rewards/rejected": -37.44923400878906, + "step": 277 + }, + { + "epoch": 0.9573826947912183, + "grad_norm": 157.32940289604164, + "learning_rate": 4.165393377745108e-09, + "logits/chosen": -15.926298141479492, + "logits/rejected": -15.70862102508545, + "logps/chosen": -2.419119358062744, + "logps/rejected": -3.12341046333313, + "loss": 2.6577, + "rewards/accuracies": 0.8125, + "rewards/chosen": -24.191190719604492, + "rewards/margins": 7.042915344238281, + "rewards/rejected": -31.234106063842773, + "step": 278 + }, + { + "epoch": 0.9608265174343521, + "grad_norm": 166.13315912995816, + "learning_rate": 3.5010598878567387e-09, + "logits/chosen": -17.470443725585938, + "logits/rejected": -17.031620025634766, + "logps/chosen": -2.174730062484741, + "logps/rejected": -2.8888866901397705, + "loss": 2.6471, + "rewards/accuracies": 0.875, + "rewards/chosen": -21.747299194335938, + "rewards/margins": 7.1415696144104, + "rewards/rejected": -28.888866424560547, + "step": 279 + }, + { + "epoch": 0.964270340077486, + "grad_norm": 147.30485634603158, + "learning_rate": 2.8941718323724605e-09, + "logits/chosen": -18.49142837524414, + "logits/rejected": -18.490829467773438, + "logps/chosen": -2.174673080444336, + "logps/rejected": -2.49884295463562, + "loss": 2.4879, + "rewards/accuracies": 0.625, + "rewards/chosen": -21.746734619140625, + "rewards/margins": 3.241696357727051, + "rewards/rejected": -24.98843002319336, + "step": 280 + }, + { + "epoch": 0.9677141627206199, + "grad_norm": 164.2306340847377, + "learning_rate": 2.344817138256161e-09, + "logits/chosen": -16.280027389526367, + "logits/rejected": -17.136314392089844, + "logps/chosen": -2.1512930393218994, + "logps/rejected": -3.025418519973755, + "loss": 2.543, + "rewards/accuracies": 0.875, + "rewards/chosen": -21.512928009033203, + "rewards/margins": 8.741255760192871, + "rewards/rejected": -30.254182815551758, + "step": 281 + }, + { + "epoch": 0.9711579853637538, + "grad_norm": 150.11832572590862, + "learning_rate": 1.8530753969413282e-09, + "logits/chosen": -18.478666305541992, + "logits/rejected": -18.377622604370117, + "logps/chosen": -1.8686823844909668, + "logps/rejected": -2.416599750518799, + "loss": 2.3333, + "rewards/accuracies": 0.8125, + "rewards/chosen": -18.686824798583984, + "rewards/margins": 5.479173183441162, + "rewards/rejected": -24.165996551513672, + "step": 282 + }, + { + "epoch": 0.9746018080068877, + "grad_norm": 148.19843248369733, + "learning_rate": 1.4190178527999198e-09, + "logits/chosen": -18.65854263305664, + "logits/rejected": -18.510950088500977, + "logps/chosen": -2.684150457382202, + "logps/rejected": -3.3109562397003174, + "loss": 2.5508, + "rewards/accuracies": 0.75, + "rewards/chosen": -26.84150505065918, + "rewards/margins": 6.268057823181152, + "rewards/rejected": -33.109561920166016, + "step": 283 + }, + { + "epoch": 0.9780456306500215, + "grad_norm": 145.3408171333848, + "learning_rate": 1.0427073928200857e-09, + "logits/chosen": -16.74791717529297, + "logits/rejected": -17.11324119567871, + "logps/chosen": -1.9323251247406006, + "logps/rejected": -2.5761024951934814, + "loss": 2.6734, + "rewards/accuracies": 0.8125, + "rewards/chosen": -19.32324981689453, + "rewards/margins": 6.437774658203125, + "rewards/rejected": -25.761024475097656, + "step": 284 + }, + { + "epoch": 0.9814894532931554, + "grad_norm": 157.29447155335754, + "learning_rate": 7.241985374952797e-10, + "logits/chosen": -15.43560791015625, + "logits/rejected": -16.016206741333008, + "logps/chosen": -2.186183452606201, + "logps/rejected": -2.557718515396118, + "loss": 2.6831, + "rewards/accuracies": 0.75, + "rewards/chosen": -21.86183738708496, + "rewards/margins": 3.7153472900390625, + "rewards/rejected": -25.57718276977539, + "step": 285 + }, + { + "epoch": 0.9849332759362893, + "grad_norm": 169.85671811117746, + "learning_rate": 4.6353743292497637e-10, + "logits/chosen": -17.268774032592773, + "logits/rejected": -17.37803077697754, + "logps/chosen": -2.315028429031372, + "logps/rejected": -2.8562231063842773, + "loss": 3.1469, + "rewards/accuracies": 0.75, + "rewards/chosen": -23.150283813476562, + "rewards/margins": 5.411944389343262, + "rewards/rejected": -28.56222915649414, + "step": 286 + }, + { + "epoch": 0.9883770985794231, + "grad_norm": 134.22079815084547, + "learning_rate": 2.607618441292203e-10, + "logits/chosen": -17.780881881713867, + "logits/rejected": -17.691925048828125, + "logps/chosen": -2.1940627098083496, + "logps/rejected": -2.694575786590576, + "loss": 2.1033, + "rewards/accuracies": 0.75, + "rewards/chosen": -21.940628051757812, + "rewards/margins": 5.005130290985107, + "rewards/rejected": -26.945756912231445, + "step": 287 + }, + { + "epoch": 0.991820921222557, + "grad_norm": 159.97180537715076, + "learning_rate": 1.1590114957682473e-10, + "logits/chosen": -18.85245704650879, + "logits/rejected": -18.812564849853516, + "logps/chosen": -2.036210536956787, + "logps/rejected": -2.694965362548828, + "loss": 2.2158, + "rewards/accuracies": 0.8125, + "rewards/chosen": -20.362106323242188, + "rewards/margins": 6.58754825592041, + "rewards/rejected": -26.94965362548828, + "step": 288 + }, + { + "epoch": 0.995264743865691, + "grad_norm": 170.03207418013815, + "learning_rate": 2.8976336929353863e-11, + "logits/chosen": -17.584726333618164, + "logits/rejected": -17.696880340576172, + "logps/chosen": -2.0683584213256836, + "logps/rejected": -2.683166980743408, + "loss": 2.4093, + "rewards/accuracies": 0.75, + "rewards/chosen": -20.683582305908203, + "rewards/margins": 6.1480865478515625, + "rewards/rejected": -26.8316707611084, + "step": 289 + }, + { + "epoch": 0.9987085665088248, + "grad_norm": 122.7613085104077, + "learning_rate": 0.0, + "logits/chosen": -18.123817443847656, + "logits/rejected": -18.210723876953125, + "logps/chosen": -2.4845879077911377, + "logps/rejected": -3.084573268890381, + "loss": 2.7978, + "rewards/accuracies": 0.8125, + "rewards/chosen": -24.84588050842285, + "rewards/margins": 5.999850273132324, + "rewards/rejected": -30.845731735229492, + "step": 290 + }, + { + "epoch": 0.9987085665088248, + "step": 290, + "total_flos": 0.0, + "train_loss": 3.2915380025732106, + "train_runtime": 46073.3913, + "train_samples_per_second": 0.807, + "train_steps_per_second": 0.006 + } + ], + "logging_steps": 1, + "max_steps": 290, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 0.0, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +} \ No newline at end of file