Accelerating vision-language models with LFM2.5-VL-DSpark

Researchers have introduced LFM2.5-VL-DSpark, a new framework designed to improve the inference speed of vision-language models. The approach utilizes a distillation method to compress models while maintaining performance, specifically targeting more efficient deployment on hardware with limited resources.