NSNQuant applies a Normalize-Shift-Normalize transform plus a Hadamard rotation to make KV cache channels match a standard normal distribution, so one codebook trained on random noise can quantize them without calibration.
Palu: Kv- cache compression with low-rank projection
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
NSNQuant applies a Normalize-Shift-Normalize transform plus a Hadamard rotation to make KV cache channels match a standard normal distribution, so one codebook trained on random noise can quantize them without calibration.