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).