G$^2$PTQ: Improving LLM Post-Training Quantization with Generalized Gradient Compensation.

arXiv:2609.31009v1 Announce Type: cross Abstract: Post-training quantization (PTQ) is a practical approach to reducing the memory and computational footprint of large language models (LLMs) without retraining. GPTQ-based methods have become the de facto standa