LIRQuant: An Efficient Locally Isolated Rotation Quantization Method for Large Language Models.

arXiv:2610.25675v1 Announce Type: new Abstract: Post-Training Quantization (PTQ) enables efficient deployment of Large Language Models (LLMs), yet activation outliers remain a key challenge for low-bit quantization. Existing global transformation methods overl