Create README.md

README.md

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+---
+language:
+- ko
+library_name: transformers
+pipeline_tag: text-generation
+license: cc-by-nc-sa-4.0
+---
+**The license is `cc-by-nc-sa-4.0`.**  
+  
+# **🐻‍❄️COKAL_merged_test-v1-13B🐻‍❄️**  
+![img](./COKAL-DPO_bear.png)  
+
+## Model Details
+
+**Model Developers** Seungyoo Lee(DopeorNope)
+
+**Input** Models input text only.
+
+**Output** Models generate text only.
+
+**Model Architecture**  
+COKAL_merged_test-v1-13B is an auto-regressive language model based on the LLaMA2 transformer architecture.
+
+
+**Base Model**  
+
+[HumanF-MarkrAI/COKAL-DPO-13b-v2](https://huggingface.co/HumanF-MarkrAI/COKAL-DPO-13b-v2)   
+
+[MarkrAI/DopeorNope-maestro-v2-DPO-13b](https://huggingface.co/MarkrAI/DopeorNope-maestro-v2-DPO-13b)   
+
+# **Implemented Method**
+
+I utilized `slerp merging` to smoothly blend the gradients of the base models to create my model. 
+
+The merging approach relies on luck, but at the same time, if I have an accurate understanding of my model's performance, I can carefully select models that excel in each aspect to develop a well-balanced model.
+
+
+
+# **Model Benchmark**
+
+
+## KO-LLM leaderboard
+- Follow up as [Open KO-LLM LeaderBoard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard).  
+
+| Model | Average |Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| --- | --- | --- | --- | --- | --- | --- |
+| COKAL_merged_test-v1-13B🐻‍❄️ | 52.72 | 51.45 | 60.55 | 44.8 | 49.05 | 57.73 |
+| [COKAL-DPO-13b-v2🐻‍❄️](https://huggingface.co/HumanF-MarkrAI/COKAL-DPO-13b-v2)  | 52.69 | 54.95 | 63.02 | 43.98 | 51.67 | 49.82 |
+| [COKAL-DPO_test-v2-13b🐻‍❄️](https://huggingface.co/DopeorNope/COKAL-DPO_test-v2-13b)  | 52.67 | 55.63 | 63.5 | 43.49 | 51.5 | 49.23 | 
+| hyeogi/Yi-6b-dpo-v0.2](https://huggingface.co/hyeogi/Yi-6b-dpo-v0.2) | 52.63 | 41.72 | 52.96 | 46.69 | 52.38 | 69.42 |
+| [DopeorNope-maestro-v2-DPO-13b🐻‍❄️](https://huggingface.co/MarkrAI/DopeorNope-maestro-v2-DPO-13b)  | 49.42 | 45.14 | 56.69 | 41.37 | 42.26 | 61.63 |
+
+
+  
+# Implementation Code
+
+## Load model
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "DopeorNope/COKAL_merged_test-v1-13B"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+## Prompt (Alpaca format)
+
+```python
+
+prompt= f"아래는 문제를 설명하는 지시사항과, 구체적인 답변을 방식을 요구하는 입력이 함께 있는 문장입니다. 이 요청에 대해 적절하게 답변해주세요.\n\n### 지시사항:\n{instruction}\n\n### 입력:\n{input}\n\n### 답변:\n"
+
+prompt_no_input = f"아래는 문제를 설명하는 지시사항입니다. 이 요청에 대해 적절하게 답변해주세요.\n\n### 지시사항:\n{instruction}\n\n### 답변:\n"
+
+
+```
+
+
+---