| Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [google/gemma-2b](https://huggingface.co/google/gemma-2b). | |
| For this quantization, we used 1 codebook of 16 bits. | |
| Results (0-shot `acc`): | |
| | Model | Quantization | WinoGrande | PiQA | HellaSwag | ArcE | ArcC | Model size, Gb | | |
| |------|------|------|-------|-------|-------|------|------| | |
| |gemma-2b| None | 0.6472 | 0.7715 | 0.5279 | 0.7403 | 0.4053| 5.0 | | |
| | |1x16| 0.6275 | 0.7318 | 0.4582 | 0.6923 | 0.3259| 1.7 | | |
| 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). |