Asymmetric quantization cuts model size by 16x with minimal accuracy loss
lateinteraction · x · 2026-08-27
A developer applied Mixedbread AI's asymmetric quantization to the mLateOn-medical model. Results show storage dropped from 45 GB to 2.8 GB (16x smaller) while NDCG@10 only decreased from 0.916 to 0.906. The technique achieves an excellent trade-off between storage and quality, with a one-line repro available.
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