FoldQuantVLA: Native Low-Bit Quantization of Vision-Language-Action Models via Consistent Folding.

arXiv:2609.24433v1 Announce Type: cross Abstract: Low-bit vision-language-action inference must reduce observation-to-action latency while preserving robot behavior. We present FoldQuantVLA, a post-training quantization framework that carries a consistent acti