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OCGQuant: Outlier-Companion Grouping for NVFP4 Quantization

Yao, Yishan et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
NVFP4 is an efficient microscaling format for low-bit inference, but activation outliers can still degrade quantization accuracy within NVFP4 blocks. Within each quantization block, large activations can dominate the block scale, increasing the quantization error of the remaining values sharing the
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