Adding Evaluation Results
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by
leaderboard-pr-bot
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README.md
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After prolonged testing we concluded that while this merge is highly flexible and capable of many different tasks, it has to much variation in how it answers to be reliable.
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Because of this the model relies on some luck to get good results, and is therefore not recommended to people seeking a consistent experience, or people sensitive to anticipation based addictions.
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If you would like an improved version of this model that is more stable check out my Airochronos-33B merge.
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After prolonged testing we concluded that while this merge is highly flexible and capable of many different tasks, it has to much variation in how it answers to be reliable.
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Because of this the model relies on some luck to get good results, and is therefore not recommended to people seeking a consistent experience, or people sensitive to anticipation based addictions.
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If you would like an improved version of this model that is more stable check out my Airochronos-33B merge.
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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_Henk717__chronoboros-33B)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 51.45 |
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| ARC (25-shot) | 63.91 |
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| HellaSwag (10-shot) | 85.0 |
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| MMLU (5-shot) | 59.44 |
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| TruthfulQA (0-shot) | 49.83 |
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| Winogrande (5-shot) | 80.35 |
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| GSM8K (5-shot) | 15.01 |
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| DROP (3-shot) | 6.62 |
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