AQLM
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AQLM quantized LLMs
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Official AQLM quantization of meta-llama/Meta-Llama-3-8B-Instruct .
For this quantization, we used 1 codebook of 16 bits.
Results:
| Model | Quantization | MMLU (5-shot) | GSM8k (8-shot) | ArcC | ArcE | Hellaswag | Winogrande | PiQA | Model size, Gb |
|---|---|---|---|---|---|---|---|---|---|
| meta-llama/Meta-Llama-3-8B-Instruct | None | 0.6560 | 0.7475 | 0.5299 | 0.8165 | 0.5771 | 0.7867 | 0.7206 | 16.1 |
| 1x16 | 0.5872 | 0.5087 | 0.4590 | 0.7710 | 0.5491 | 0.7726 | 0.6953 | 4.1 |
UPD 02.05.2024
The version of model with improved fine-tuning procedure.
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