Adding Evaluation Results
#5
by acrastt - opened
README.md
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GGML quants available [here](https://huggingface.co/TheBloke/Puma-3b-GGML).</br>
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GPTQ quants available [here](https://huggingface.co/TheBloke/Puma-3b-GPTQ).
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Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please!
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GGML quants available [here](https://huggingface.co/TheBloke/Puma-3b-GGML).</br>
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GPTQ quants available [here](https://huggingface.co/TheBloke/Puma-3b-GPTQ).
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Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please!
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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_acrastt__Puma-3B)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 35.93 |
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| ARC (25-shot) | 41.3 |
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| HellaSwag (10-shot) | 71.85 |
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| MMLU (5-shot) | 27.51 |
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| TruthfulQA (0-shot) | 38.34 |
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| Winogrande (5-shot) | 66.38 |
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| GSM8K (5-shot) | 0.76 |
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| DROP (3-shot) | 5.38 |
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