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--- |
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library_name: peft |
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base_model: kyujinpy/Sakura-SOLAR-Instruct |
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license: apache-2.0 |
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datasets: |
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- meta-math/MetaMathQA |
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language: |
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- en |
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pipeline_tag: text-generation |
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tags: |
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- SOLAR |
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- MetaMathQA |
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--- |
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# MOLAR 10.7B |
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Q-LoRA fine-tuned on **kyujinpy/Sakura-SOLAR-Instruct** with **meta-math/MetaMathQA** |
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Adapter model and normal model is avaible, you can download with both styles. |
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You must use this prompt style. |
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```yaml |
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### Query: <query> |
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### Response: <response> |
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``` |
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# Loss Curve: |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63da3d7ae697e5898cb86854/5OW8k59b_3rlqWlZfYkWx.png) |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results will be found [Here]() |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | | |
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| ARC (25-shot) | | |
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| HellaSwag (10-shot) | | |
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| MMLU (5-shot) | | |
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| TruthfulQA (0-shot) | | |
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| Winogrande (5-shot) | | |
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| GSM8K (5-shot) | | |