Official AQLM quantization of 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.