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license: apache-2.0 |
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EXL2 quants of [Mistral-7B-instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3/edit/main/README.md) |
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v0.3's vocabulary is compatible with Mistral-Large-123B, so this works as a draft model for Mistral-Large. |
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[2.80 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-v0.3-exl2/tree/2.8bpw) |
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[3.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-v0.3-exl2/tree/3.0bpw) |
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[4.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-v0.3-exl2/tree/4.0bpw) |
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[4.50 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-v0.3-exl2/tree/4.5bpw) |
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[5.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-v0.3-exl2/tree/5.0bpw) |
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[6.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-v0.3-exl2/tree/6.0bpw) |
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[measurement.json](https://huggingface.co/turboderp/Mistral-7B-instruct-v0.3-exl2/blob/main/measurement.json) |
