ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models
arXiv:2605.11222v1 Announce Type: new
Abstract: Quantization is an effective strategy to reduce the storage and computation footprint of large language models (LLMs). Post-training quantization (PTQ) is a leading approach for compressing LLMs. Popular…