DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models
DyQ-VLA is a dynamic quantization framework for Vision-Language-Action (VLA) models designed for efficient edge deployment. It solves the problem of static quantization by dynamically switching precision based on real-time task sensitivity. The system uses kinematic proxies to decide when to use higher or lower bitwidths, ensuring high accuracy during critical fine movements while saving computation during coarse motions.