2026
Training Dynamics Impact Post-Training Quantization Robustness
ICLR 2026poster
While post-training quantization is widely adopted for efficient deployment of large language models, the mechanisms underlying quantization robustness remain unclear. We conduct a comprehensive analysis of quantization degradation across open-source language model training trajectories up to 32B pa…