ENTITY Adaptive Cross-Modal Calibration

Adaptive Cross-Modal Calibration

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TOOL · CL_40779 · May 19 · 14:49

SplitQ framework enhances low-bit quantization for vision-language models

Researchers have developed SplitQ, a new post-training quantization framework designed to improve the efficiency of large vision-language models (VLMs) on devices with limited resources. SplitQ addresses the accuracy de…

SplitQ framework enhances low-bit quantization for vision-language models