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News/NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
arxiv
PublishedJuly 16, 2026 at 4:00 AM
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NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache

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Publisher summary· verbatim

arXiv:2505.18231v3 Announce Type: replace-cross Abstract: Large Language Model (LLM) inference is typically memory-intensive, especially when processing large batch sizes and long sequences, due to the large size of key-value (KV) cache. Vector Quantization (VQ) is recently adopted to alleviate this

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arxiv
Read original ↗All from arxiv →
Tags
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#machine-learning#vector-quantization#optimization#inference

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