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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). |