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SalQ-VLM: Fine-Grained Saliency-Guided Quantization for Vision-Language Models
Large language models (LLMs) have demonstrated remarkable capabilities across diverse language tasks, motivating their extension to vision-language models (VLMs) for multimodal understanding. However, billion-parameter VLMs incur substantial memory and computational costs that hinder deployment in r
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