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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
README.md CHANGED
@@ -11,4 +11,17 @@ This repo contains the merged f16 model. The QLoRA adaptor can be found [here](h
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  A 13b version of the model can be found [here](https://huggingface.co/Mikael110/llama-2-13b-guanaco-fp16).
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- **Legal Disclaimer: This model is bound by the usage restrictions of the original Llama-2 model. And comes with no warranty or gurantees of any kind.**
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  A 13b version of the model can be found [here](https://huggingface.co/Mikael110/llama-2-13b-guanaco-fp16).
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+ **Legal Disclaimer: This model is bound by the usage restrictions of the original Llama-2 model. And comes with no warranty or gurantees of any kind.**
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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_Mikael110__llama-2-7b-guanaco-fp16)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 44.6 |
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+ | ARC (25-shot) | 54.86 |
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+ | HellaSwag (10-shot) | 79.65 |
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+ | MMLU (5-shot) | 46.38 |
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+ | TruthfulQA (0-shot) | 43.83 |
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+ | Winogrande (5-shot) | 75.22 |
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+ | GSM8K (5-shot) | 6.29 |
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+ | DROP (3-shot) | 5.99 |