G^2PTQ: Globally Supervised Post-Training Quantization

G^2PTQ improves LLM quantization by integrating first- and second-order information through a block-wise optimization objective. It refreshes gradient and Hessian estimates before quantizing each Transformer block to prevent guidance from becoming stale.