VLAQuantBench: Closed-Loop Evaluation of Post-Training Quantization for Vision-Language-Action Models
These results establish recipe-dependent interactions and identify concrete precision assignments, rather than universal layer-sensitivity rules, rather than universal layer-sensitivity rules for vision-language-action models.
Jiu-Yi Xu, Qing Jin, Mei-Da Chen et al.
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