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README.md

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 ---
+language:
+- en
+datasets:
+- argilla/distilabel-math-preference-dpo
+pipeline_tag: text-generation
 license: cc-by-nc-sa-4.0
 ---
+
+# **Sakura-SOLAR-Instruct-DPO-v2**  
+<img src='./sakura.png' width=512>
+
+## Model Details
+
+**Model Developers** Kyujin Han (kyujinpy)
+
+**Method**  
+Using DPO method.  
+With [argilla/distilabel-math-preference-dpo](https://huggingface.co/datasets/argilla/distilabel-math-preference-dpo). 
+     
+I will share the information about my model. (training and code)  
+Please see: ⭐[Sakura-SOLAR(will update)]().  
+
+# **Model Benchmark**  
+
+## Open leaderboard
+- Follow up as [link](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).  
+
+| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| akura-SOLAR-Instruct-DPO-v2 | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
+| Sakura-SOLAR-Instruct-DPO-v1 | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
+| [kyujinpy/Sakura-SOLAR-Instruct](https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct) | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
+
+   
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "kyujinpy/Sakura-SOLAR-Instruct-DPO-v2"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+---