AIBullisharXiv – CS AI · 9h ago7/10
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Channel-Wise Mixed-Precision Quantization for Large Language Models
Researchers introduce Channel-Wise Mixed-Precision Quantization (CMPQ), a novel technique that reduces Large Language Model memory requirements by assigning different precision levels to different weight channels based on activation patterns. The method enables fractional-bit quantization between 2-4 bits while preserving critical information through outlier extraction, addressing deployment constraints on edge devices.