Adding Evaluation Results
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leaderboard-pr-bot
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README.md
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Although the aforementioned dataset helps to steer the base language models into "safer" distributions of text, not all biases and toxicity can be mitigated through fine-tuning. We ask that users be mindful of such potential issues that can arise in generated responses. Do not treat model outputs as substitutes for human judgment or as sources of truth. Please use it responsibly.
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Although the aforementioned dataset helps to steer the base language models into "safer" distributions of text, not all biases and toxicity can be mitigated through fine-tuning. We ask that users be mindful of such potential issues that can arise in generated responses. Do not treat model outputs as substitutes for human judgment or as sources of truth. Please use it responsibly.
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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_quantumaikr__QuantumLM)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 46.73 |
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| ARC (25-shot) | 55.8 |
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| HellaSwag (10-shot) | 79.74 |
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| MMLU (5-shot) | 54.17 |
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| TruthfulQA (0-shot) | 46.71 |
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| Winogrande (5-shot) | 74.19 |
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| GSM8K (5-shot) | 9.86 |
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| DROP (3-shot) | 6.65 |
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