A Unified Hessian-Guided Framework for Post-Training Quantization.
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, l
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