2026
MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models
ICLR 2026poster
Quantization significantly accelerates inference in large language models (LLMs) by replacing original high-precision matrices with low-precision counterparts. Recent advances in weight-activation quantization have primarily focused on mapping both weights and activations to the INT4 format. Althoug…