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@@ -24,7 +24,7 @@ We use [OpenChat](https://huggingface.co/openchat) packing, trained with [Axolot
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  This release is trained on a curated filtered subset of most of our GPT-4 augmented data.
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  It is the same subset of our data as was used in our [OpenOrcaxOpenChat-Preview2-13B model](https://huggingface.co/Open-Orca/OpenOrcaxOpenChat-Preview2-13B).
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- HF Leaderboard evals place this model as #2 for all models smaller than 30B at release time, outperforming all but one 13B model.
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  This release provides a first: a fully open model with class-breaking performance, capable of running fully accelerated on even moderate consumer GPUs.
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  Our thanks to the Mistral team for leading the way here.
 
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  This release is trained on a curated filtered subset of most of our GPT-4 augmented data.
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  It is the same subset of our data as was used in our [OpenOrcaxOpenChat-Preview2-13B model](https://huggingface.co/Open-Orca/OpenOrcaxOpenChat-Preview2-13B).
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+ **HF Leaderboard evals place this model as #2 for all models smaller than 30B at release time, outperforming all but one 13B model.**
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  This release provides a first: a fully open model with class-breaking performance, capable of running fully accelerated on even moderate consumer GPUs.
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  Our thanks to the Mistral team for leading the way here.