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

Ruikang Liu, Haoli Bai, Yuxuan Sun +8

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 h…