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@@ -22,8 +22,8 @@ Nero-7B-slerp is a merge of the following models using [LazyMergekit](https://co
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  ## 📈 Performance
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  | Model | AGIEval | GPT4All | TruthfulQA | Bigbench | Average |
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- | --- | --- | --- | --- | --- | --- | --- | --- |
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- | [teodortita/Nero-7B-slerp](#) | 41.73 | 73.37 | 58.66 | 43.03 | 54.2 |
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  | [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) | 38.68 | 71.64 | 66.85 | 42.28 | 54.86 |
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  | [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) | 42.82 | 73.04 | 53.02 | 40.99 | 52.47 |
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  ## 📈 Performance
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  | Model | AGIEval | GPT4All | TruthfulQA | Bigbench | Average |
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+ | --- | --- | --- | --- | --- | --- |
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+ | [teodortita/Nero-7B-slerp](#) | 41.73 | **73.37** | 58.66 | **43.03** | 54.2 |
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  | [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) | 38.68 | 71.64 | 66.85 | 42.28 | 54.86 |
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  | [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) | 42.82 | 73.04 | 53.02 | 40.99 | 52.47 |
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