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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
@@ -112,4 +112,17 @@ This model has undergone very limited testing. Additional safety testing should
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  - **Hardware Type:** 32x A100-80GB
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  - **Hours used:** 480 GPU-hours
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  - **Cloud Provider:** AWS
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- - **Compute Region:** us-east-1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - **Hardware Type:** 32x A100-80GB
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  - **Hours used:** 480 GPU-hours
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  - **Cloud Provider:** AWS
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+ - **Compute Region:** us-east-1
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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_Phind__Phind-CodeLlama-34B-v2)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 37.15 |
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+ | ARC (25-shot) | 24.57 |
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+ | HellaSwag (10-shot) | 27.6 |
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+ | MMLU (5-shot) | 25.76 |
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+ | TruthfulQA (0-shot) | 48.37 |
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+ | Winogrande (5-shot) | 71.82 |
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+ | GSM8K (5-shot) | 23.2 |
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+ | DROP (3-shot) | 38.7 |