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Multimodal Understanding on LLaVA-NeXT Evaluation Suite

100Average AccuracyVanilla
90.95293.30195.6597.999Jan 30, 2026

Evaluation results

MethodLinks
VanillaModel Scale=13B, #Tokens=2880, Prefilling Time (ms)=156.5, Total Inference Time (s)=2814, Memory Usage (MB)=368402026.01100
VisionTrimModel Scale=13B, #Tokens=320, Prefilling Time (ms)=28.0, Total Inference Time (s)=826, Memory Usage (MB)=251302026.0197.4
VanillaModel Scale=7B, #Tokens=2880, Prefilling Time (ms)=112.4, Total Inference Time (s)=2080, Memory Usage (MB)=208742026.0196.2
VisionTrimModel Scale=7B, #Tokens=160, Prefilling Time (ms)=15.2, Total Inference Time (s)=547, Memory Usage (MB)=124822026.0194.8
VisionZipModel Scale=13B, #Tokens=320, Prefilling Time (ms)=57.3, Total Inference Time (s)=1585, Memory Usage (MB)=308622026.0193.3
VisionZipModel Scale=7B, #Tokens=160, Prefilling Time (ms)=39.8, Total Inference Time (s)=1224, Memory Usage (MB)=170122026.0191.3