AI RESEARCH
InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization
arXiv CS.AI
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ArXi:2605.26175v1 Announce Type: cross Low-bit activation quantization remains a major bottleneck in efficient large language model (LLM) deployment. The difficulty is not only that activations contain outliers, but that their distributions are often poorly matched to a low-bit uniform quantizer. Existing post-