AQLM
Collection
AQLM quantized LLMs
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Official AQLM quantization of mistralai/Mixtral-8x7B-Instruct-v0.1.
For this quantization, we used 1 codebook of 16 bits.
Selected evaluation results for this model:
| Model | AQLM scheme | WinoGrande | PiQA | HellaSwag | ArcE | ArcC | Model size, Gb | Hub link |
|---|---|---|---|---|---|---|---|---|
| Mixtral-8x7B-Instruct-v0.1 (THIS) | 1x16 | 0.7593 | 0.8043 | 0.6179 | 0.7768 | 0.4793 | 12.6 | Link |
To learn more about the inference, as well as the information on how to quantize models yourself, please refer to the official GitHub repo.
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