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AQLM is the official PyTorch implementation for extreme compression of large language models via additive quantization. It provides code and experiments to quantize, fine-tune, and convert LLMs using multiple codebooks to achieve smaller models with maintained accuracy. The project is actively maintained (e.g., release v1.1.7) and includes GPU-accelerated features such as arbitrary 8-dimensional codebooks to improve compressed model performance.
AI named AQLM from January 2026 to August 2026.
None of these answers cited github.com. AI leaned on huggingface.co.
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