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