Adding Evaluation Results

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  1. README.md +13 -1
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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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+ |-----------------------|---------------------------|
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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 |