| EXL2 quants of Mistral-7B-instruct | |
| Converted from [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1). This is a | |
| straight conversion, but I have modified the `config.json` to make the default context size 7168 tokens, since in | |
| initial testing the model becomes unstable a while after that. It's possible that sliding window attention will | |
| allow the model to use its advertised 32k-token context, but this hasn't been tested yet. | |
| [2.50 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/2.5bpw) | |
| [2.70 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/2.7bpw) | |
| [3.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/3.0bpw) | |
| [3.50 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/3.5bpw) | |
| [4.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/4.0bpw) | |
| [4.65 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/4.65bpw) | |
| [5.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/5.0bpw) | |
| [6.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/6.0bpw) | |
| [measurement.json](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/blob/main/measurement.json) |