arxiv
PublishedOctober 31, 2026 at 4:00 AM
A Unified Hessian-Guided Framework for Post-Training Quantization
Publisher summary· verbatim
arXiv:2610.40345v1 Announce Type: cross Abstract: Low-bit quantization enables efficient deployment of large language models by reducing memory footprint and computational cost. Achieving high accuracy at low precision requires selecting quantization ranges, linear transformations, and weight roundi
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