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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +14 -1
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@@ -82,4 +82,17 @@ These benchmarks currently have us at #1 on ARC-c, ARC-e, Hellaswag, and OpenBoo
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  ## Model Usage
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  The model is available for download on Hugging Face. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex instructions.
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- Compute provided by our project sponsor Redmond AI, thank you!!
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model Usage
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  The model is available for download on Hugging Face. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex instructions.
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+ Compute provided by our project sponsor Redmond AI, thank you!!
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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_NousResearch__Nous-Hermes-13b)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 51.68 |
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+ | ARC (25-shot) | 56.57 |
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+ | HellaSwag (10-shot) | 82.11 |
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+ | MMLU (5-shot) | 50.44 |
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+ | TruthfulQA (0-shot) | 51.5 |
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+ | Winogrande (5-shot) | 75.3 |
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+ | GSM8K (5-shot) | 8.34 |
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+ | DROP (3-shot) | 37.5 |