Post-Training Quantization

STEPQuant: Spatial-Temporal Quantization for Linear Attention Recurrent States

STEPQuant：空間與時間雙重優化，突破線性注意力循環狀態量化瓶頸

STEPQuant is a spatial-temporal post-training quantization framework for Delta-rule recurrent states, achieving over 5x state compression and reducing serving memory by up to 68.7% with minimal accuracy loss.