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@@ -33,43 +33,3 @@ Quantizationed versions of this model is available thanks to [TheBloke](https://
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  ##### AWQ
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  - [TheBloke/Dolphin2.1-OpenOrca-7B-AWQ](https://huggingface.co/TheBloke/Dolphin2.1-OpenOrca-7B-AWQ)
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- # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) [📑 Detailed Results)](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Dolphin2.1-OpenOrca-7B)
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- | Metric | Value |
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- |-----------------------|---------------------------|
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- | Avg. | 53.0 |
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- | ARC (25-shot) | 63.91 |
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- | HellaSwag (10-shot) | 84.26 |
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- | MMLU (5-shot) | 62.66 |
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- | TruthfulQA (0-shot) | 53.84 |
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- | Winogrande (5-shot) | 78.22 |
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- | GSM8K (5-shot) | 19.94 |
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- | DROP (3-shot) | 8.17 |
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-
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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_Weyaxi__Dolphin2.1-OpenOrca-7B)
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-
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- | Metric | Value |
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- |-----------------------|---------------------------|
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- | Avg. | 53.0 |
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- | ARC (25-shot) | 63.91 |
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- | HellaSwag (10-shot) | 84.26 |
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- | MMLU (5-shot) | 62.66 |
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- | TruthfulQA (0-shot) | 53.84 |
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- | Winogrande (5-shot) | 78.22 |
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- | GSM8K (5-shot) | 19.94 |
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- | DROP (3-shot) | 8.17 |
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-
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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_Weyaxi__Dolphin2.1-OpenOrca-7B)
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-
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- | Metric | Value |
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- |-----------------------|---------------------------|
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- | Avg. | 53.0 |
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- | ARC (25-shot) | 63.91 |
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- | HellaSwag (10-shot) | 84.26 |
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- | MMLU (5-shot) | 62.66 |
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- | TruthfulQA (0-shot) | 53.84 |
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- | Winogrande (5-shot) | 78.22 |
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- | GSM8K (5-shot) | 19.94 |
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- | DROP (3-shot) | 8.17 |
 
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  ##### AWQ
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  - [TheBloke/Dolphin2.1-OpenOrca-7B-AWQ](https://huggingface.co/TheBloke/Dolphin2.1-OpenOrca-7B-AWQ)