| Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1). | |
| For this quantization, we used 1 codebook of 16 bits. | |
| Results (0-shot `acc`): | |
| | Model | Quantization | WinoGrande | PiQA | HellaSwag | ArcE | ArcC | Model size, Gb | | |
| |------|------|------|-------|-------|-------|------|------| | |
| |Mistral-7B-v0.1| None | 0.7364 | 0.8047 | 0.6115 | 0.7887 | 0.4923 | 14.5 | | |
| | |1x16| 0.6914 | 0.7845 | 0.5745 | 0.7504 | 0.4420 | 2.51 | | |
| To learn more about the inference, as well as the information on how to quantize models yourself, please refer to the [official GitHub repo](https://github.com/Vahe1994/AQLM). |