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  | Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
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  | --- | --- | --- | --- | --- | --- | --- | --- |
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  | [paulilioaica/Hugo-7B-slerp](#) | **67.07** | **64.51** | 84.77 | **62.54** | 57.13 | **80.03** | 53.45 |
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- | [mistralai/Mistral-7B-Instruct-v0.2](#) | 65.71 | 63.14 | 84.88 | 60.78 | 68.26 | 77.19 | 40.03 |
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- | [beowolx/CodeNinja-1.0-OpenChat-7B](#) | 67.4 | 63.48 | 83.65 | 63.77 | 47.16 | 79.79 | 66.57 |
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  With bold one can see the benchmarks where this merge overtakes the basemodel in performance.
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  | Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
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  | --- | --- | --- | --- | --- | --- | --- | --- |
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  | [paulilioaica/Hugo-7B-slerp](#) | **67.07** | **64.51** | 84.77 | **62.54** | 57.13 | **80.03** | 53.45 |
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+ | [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) | 65.71 | 63.14 | 84.88 | 60.78 | 68.26 | 77.19 | 40.03 |
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+ | [beowolx/CodeNinja-1.0-OpenChat-7B](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B) | 67.4 | 63.48 | 83.65 | 63.77 | 47.16 | 79.79 | 66.57 |
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  With bold one can see the benchmarks where this merge overtakes the basemodel in performance.
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