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This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
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This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the original 7 billion parameter model.
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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# UpStage's conclusionary limitations of their research:
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This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
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This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the original 7 billion parameter model.
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Paper detailing how Depth-Up Scaling works: [SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling](https://arxiv.org/abs/2312.15166)
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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# UpStage's conclusionary limitations of their research:
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