Adding Evaluation Results
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gagan3012
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README.md
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This model is a hybrid of the following models and is trained using the following configuration:
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* [VAGOsolutions/SauerkrautLM-SOLAR-Instruct](https://huggingface.co/VAGOsolutions/SauerkrautLM-SOLAR-Instruct)
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* [kyujinpy/Sakura-SOLAR-Instruct](https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct)
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This model is a hybrid of the following models and is trained using the following configuration:
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* [VAGOsolutions/SauerkrautLM-SOLAR-Instruct](https://huggingface.co/VAGOsolutions/SauerkrautLM-SOLAR-Instruct)
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* [kyujinpy/Sakura-SOLAR-Instruct](https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct)
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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_gagan3012__MetaModelv2)
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| Metric | Value |
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| Avg. | 74.24 |
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| ARC (25-shot) | 71.08 |
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| HellaSwag (10-shot) | 88.56 |
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| MMLU (5-shot) | 66.29 |
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| TruthfulQA (0-shot) | 71.94 |
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| Winogrande (5-shot) | 83.11 |
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| GSM8K (5-shot) | 64.44 |
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