Adding Evaluation Results

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  1. README.md +14 -0
README.md CHANGED
@@ -248,3 +248,17 @@ AWQ: https://huggingface.co/TheBloke/OpenHermes-2.5-Mistral-7B-AWQ
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  EXL2: https://huggingface.co/bartowski/OpenHermes-2.5-Mistral-7B-exl2
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  [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  EXL2: https://huggingface.co/bartowski/OpenHermes-2.5-Mistral-7B-exl2
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  [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_teknium__OpenHermes-2.5-Mistral-7B)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 57.82 |
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+ | ARC (25-shot) | 64.93 |
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+ | HellaSwag (10-shot) | 84.3 |
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+ | MMLU (5-shot) | 63.82 |
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+ | TruthfulQA (0-shot) | 52.31 |
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+ | Winogrande (5-shot) | 77.9 |
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+ | GSM8K (5-shot) | 25.47 |
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+ | DROP (3-shot) | 35.99 |