STEPQuant Optimizes Delta-Rule Recurrent State Quantization
September 28, 2026
STEPQuant introduces a spatial-temporal post-training quantization framework to mitigate error propagation in linear attention recurrent states. It addresses how quantization errors persist in long-lived memory and vary across spatial dimensions in the state matrix.
HOW THIS AFFECTS YOU
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builderThis could lead to more efficient serving of long-context linear attention models.
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researcherYou can better understand how spatial-temporal error distribution affects recurrent state quantization.