HyQuant Hybrid-Precision Quantization for Attention Modules
August 27, 2026
HyQuant is a hybrid quantization framework that reduces LLM attention error by keeping critical vertical-line tokens and local-window states in high precision. It uses lightweight pattern signals to balance efficiency and accuracy at low bit-widths.
HOW THIS AFFECTS YOU
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builderYou can achieve lower latency and memory usage for attention modules without the typical accuracy drops of low-bit quantization.