diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..aee8531e06e50da025bd3816890573c787f29257 --- /dev/null +++ b/README.md @@ -0,0 +1,80 @@ +--- +language: +- en +license: apache-2.0 +base_model: microsoft/WizardLM-2-8x22B +tags: +- exl2 +--- + +# WizardLM-2-8x22B - EXL2 4.0bpw + +This is a 4.0bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B) + +Details about the model can be found at the above model page. + +## EXL2 Version + +These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of the exllamav2 library. + +If you have problems loading these models, please update Text Generation WebUI to the latest version. + + + +## Quant Details + +This is the script used for quantization. + +```bash +#!/bin/bash + +# Activate the conda environment +source ~/miniconda3/etc/profile.d/conda.sh +conda activate exllamav2 + +# Set the model name and bit size +MODEL_NAME="WizardLM-2-8x22B" + +# Define variables +MODEL_DIR="/mnt/storage/models/$MODEL_NAME" +OUTPUT_DIR="exl2_$MODEL_NAME" +MEASUREMENT_FILE="measurements/$MODEL_NAME.json" + +# Create the measurement file if needed +if [ ! -f "$MEASUREMENT_FILE" ]; then + echo "Creating $MEASUREMENT_FILE" + # Create directories + if [ -d "$OUTPUT_DIR" ]; then + rm -r "$OUTPUT_DIR" + fi + mkdir "$OUTPUT_DIR" + + python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE +fi + +# Choose one of the below. Either create a single quant for testing or a batch of them. +# BIT_PRECISIONS=(2.25) +BIT_PRECISIONS=(5.0 4.5 4.0 3.5 3.0 2.75 2.5 2.25) + +for BIT_PRECISION in "${BIT_PRECISIONS[@]}" +do + CONVERTED_FOLDER="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw" + + # If it doesn't already exist, make the quant + if [ ! -d "$CONVERTED_FOLDER" ]; then + + echo "Creating $CONVERTED_FOLDER" + + # Create directories + if [ -d "$OUTPUT_DIR" ]; then + rm -r "$OUTPUT_DIR" + fi + mkdir "$OUTPUT_DIR" + mkdir "$CONVERTED_FOLDER" + + # Run conversion commands + python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -cf $CONVERTED_FOLDER + + fi +done +``` diff --git a/config.json b/config.json new file mode 100644 index 0000000000000000000000000000000000000000..48d8c54e2494ec0ef15e1131f2efa35047f776f5 --- /dev/null +++ b/config.json @@ -0,0 +1,42 @@ +{ + "_name_or_path": "", + "architectures": [ + "MixtralForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 6144, + "initializer_range": 0.02, + "intermediate_size": 16384, + "max_position_embeddings": 65536, + "model_type": "mixtral", + "num_attention_heads": 48, + "num_experts_per_tok": 2, + "num_hidden_layers": 56, + "num_key_value_heads": 8, + "num_local_experts": 8, + "output_router_logits": false, + "rms_norm_eps": 1e-05, + "rope_theta": 1000000, + "router_aux_loss_coef": 0.001, + "router_jitter_noise": 0.0, + "sliding_window": null, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.36.2", + "use_cache": false, + "vocab_size": 32000, + "quantization_config": { + "quant_method": "exl2", + "version": "0.0.18", + "bits": 4.0, + "head_bits": 6, + "calibration": { + "rows": 100, + "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 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