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diff --git a/README.md b/README.md
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+---
+tags:
+ - text-generation
+license: cc-by-nc-4.0
+language:
+ - ko
+base_model: beomi/OPEN-SOLAR-KO-10.7B
+pipeline_tag: text-generation
+---
+
+# **DataVortexS-10.7B-dpo-v1.10**
+
+
+
+## **Model Details**
+
+### **Base Model**
+
+[beomi/OPEN-SOLAR-KO-10.7B](https://huggingface.co/beomi/OPEN-SOLAR-KO-10.7B)
+
+### **Trained On**
+
+- **OS**: Ubuntu 22.04
+- **GPU**: H100 80GB 4ea
+- **transformers**: v4.36.2
+
+### **Instruction format**
+
+It follows **Alpaca (Chat)** format.
+
+E.g.
+
+```python
+text = """\
+### System:
+당신은 사람들이 정보를 찾을 수 있도록 도와주는 인공지능 비서입니다.
+
+### User:
+대한민국의 수도는 어디야?
+
+### Assistant:
+대한민국의 수도는 서울입니다.
+
+### User:
+서울 인구는 총 몇 명이야?
+"""
+```
+
+## **Model Benchmark**
+
+### **[Ko LM Eval Harness](https://github.com/Beomi/ko-lm-evaluation-harness)**
+
+On Benchmarking ...
+
+| Task | 0-shot | 5-shot | 10-shot | 50-shot |
+| :--------------- | ------: | ------: | ------: | ------: |
+| kobest_boolq | 0.0 | 0.0 | 0.0 | 0.0 |
+| kobest_copa | 0.0 | 0.0 | 0.0 | 0.0 |
+| kobest_hellaswag | 0.0 | 0.0 | 0.0 | 0.0 |
+| kobest_sentineg | 0.0 | 0.0 | 0.0 | 0.0 |
+| **Average** | **0.0** | **0.0** | **0.0** | **0.0** |
+
+### **[Ko-LLM-Leaderboard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard)**
+
+On Benchmarking ...
+
+| Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| ------: | -----: | -----------: | ------: | ------------: | --------------: |
+| 0 | 0 | 0 | 0 | 0 | 0 |
+
+## **Implementation Code**
+
+This model contains the chat_template instruction format.
+You can use the code below.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+device = "cuda" # the device to load the model onto
+
+model = AutoModelForCausalLM.from_pretrained("Edentns/DataVortexS-10.7B-dpo-v1.10")
+tokenizer = AutoTokenizer.from_pretrained("Edentns/DataVortexS-10.7B-dpo-v1.10")
+
+messages = [
+ {"role": "system", "content": "당신은 사람들이 정보를 찾을 수 있도록 도와주는 인공지능 비서입니다."},
+ {"role": "user", "content": "대한민국의 수도는 어디야?"},
+ {"role": "assistant", "content": "대한민국의 수도는 서울입니다."},
+ {"role": "user", "content": "서울 인구는 총 몇 명이야?"}
+]
+
+encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
+
+model_inputs = encodeds.to(device)
+model.to(device)
+
+generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
+decoded = tokenizer.batch_decode(generated_ids)
+print(decoded[0])
+```
+
+## **License**
+
+This model is licensed under the [cc-by-nc-4.0](https://creativecommons.org/licenses/by-nc/4.0/). which allows others to share and adapt the model for non-commercial purposes.
+
+
diff --git a/config.json b/config.json
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+{
+ "_name_or_path": "Edentns/DataVortexS-10.7B-dpo-v1.10",
+ "architectures": [
+ "LlamaForCausalLM"
+ ],
+ "attention_bias": false,
+ "attention_dropout": 0.0,
+ "bos_token_id": 1,
+ "eos_token_id": 2,
+ "hidden_act": "silu",
+ "hidden_size": 4096,
+ "initializer_range": 0.02,
+ "intermediate_size": 14336,
+ "max_position_embeddings": 2048,
+ "model_type": "llama",
+ "num_attention_heads": 32,
+ "num_hidden_layers": 48,
+ "num_key_value_heads": 8,
+ "pad_token_id": 2,
+ "pretraining_tp": 1,
+ "rms_norm_eps": 1e-05,
+ "rope_scaling": null,
+ "rope_theta": 10000.0,
+ "tie_word_embeddings": false,
+ "torch_dtype": "float16",
+ "transformers_version": "4.36.2",
+ "use_cache": true,
+ "vocab_size": 46592
+}
diff --git a/generation_config.json b/generation_config.json
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+{
+ "_from_model_config": true,
+ "bos_token_id": 1,
+ "eos_token_id": 2,
+ "pad_token_id": 2,
+ "transformers_version": "4.36.2"
+}
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new file mode 100644
index 0000000000000000000000000000000000000000..451134b2ddc2e78555d1e857518c54b4bdc2e87d
--- /dev/null
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index 0000000000000000000000000000000000000000..8790c1d4d966b749b615d2cd8c45fa86c32d7166
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