Vector codebooks preserve useful language models at roughly two bits

Across six models, vector quantization retained most question-answering accuracy while scalar two-bit methods collapsed to chance.

Big Tech
Rhea Sanjay Sukthanker · Riccardo Grazzi · James Hensman · Pashmina Cameron

Applied Sciences Group (ASG), Microsoft · Microsoft Research

Research Digest··3 min read
8 billion to 32 billion parameters.

The authors compared scalar and vector post-training quantization, which compresses an already trained model without full retraining.

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Research Digest

Written by Alwyn Sage, research editor. Plate by Ollie Flash, picture desk.

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