2023
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization
EMNLP 2023long main
Large Language Models (LLMs) are proficient in natural language processing tasks, but their deployment is often restricted by extensive parameter sizes and computational demands. This paper focuses on post-training quantization (PTQ) in LLMs, specifically 4-bit weight and 8-bit activation (W4A8) qua…