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@@ -31,8 +31,8 @@ Eval results from the Nous benchmark suite (performed using LLM AutoEval).
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  | [**MonarchPipe-7B-slerp**](https://huggingface.co/ichigoberry/MonarchPipe-7B-slerp) [πŸ“„](https://gist.github.com/tosh/3d93f4e3d2c65935bf2f4f9a46791352)| 58.77| **46.12**| 74.89| 66.59| 47.49|
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  | [AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) [πŸ“„](https://gist.github.com/mlabonne/1d33c86824b3a11d2308e36db1ba41c1) | **62.74** | 45.37 | **77.01** | **78.39** | **50.2** |
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  | [Monarch-7B](https://huggingface.co/mlabonne/Monarch-7B) [πŸ“„](https://gist.github.com/mlabonne/0b8d057c5ece41e0290580a108c7a093) | 62.68 | 45.48 | 77.07 | 78.04 | 50.14 |
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- | [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) [πŸ“„](https://gist.github.com/mlabonne/88b21dd9698ffed75d6163ebdc2f6cc8) | 52.42 | 42.75 | 72.99 | 52.99 | 40.94 |
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- | [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) [πŸ“„](https://gist.github.com/mlabonne/14687f1eb3425b166db511f31f8e66f6) | 53.51 | 43.67 | 73.24 | 55.37 | 41.76 |
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  | [**MonarchPipe-7B-slerp**](https://huggingface.co/ichigoberry/MonarchPipe-7B-slerp) [πŸ“„](https://gist.github.com/tosh/3d93f4e3d2c65935bf2f4f9a46791352)| 58.77| **46.12**| 74.89| 66.59| 47.49|
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  | [AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) [πŸ“„](https://gist.github.com/mlabonne/1d33c86824b3a11d2308e36db1ba41c1) | **62.74** | 45.37 | **77.01** | **78.39** | **50.2** |
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  | [Monarch-7B](https://huggingface.co/mlabonne/Monarch-7B) [πŸ“„](https://gist.github.com/mlabonne/0b8d057c5ece41e0290580a108c7a093) | 62.68 | 45.48 | 77.07 | 78.04 | 50.14 |
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+ | [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) [πŸ“„](https://gist.github.com/mlabonne/88b21dd9698ffed75d6163ebdc2f6cc8) | 52.42 | 42.75 | 72.99 | 52.99 | 40.94 |
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+ | [NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) [πŸ“„](https://gist.github.com/mlabonne/14687f1eb3425b166db511f31f8e66f6) | 53.51 | 43.67 | 73.24 | 55.37 | 41.76 |
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