RGSQ: Riemannian Geometry-Sensitive Quantization for Large Vision-Language Models.

arXiv:2609.25492v1 Announce Type: cross Abstract: Large vision-language models (VLMs) can be efficiently deployed under stringent memory and latency constraints through post training quantization (PTQ). However, most PTQ methods are designed for unimodal large