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Multimodal Evaluation on Combined Benchmark Suite (GQA, MMB, MME, VQA-T, SQA-I, VQA-v2)

100Relative AccuracyLLaVA-NeXT-7B
87.72890.91494.197.286Mar 18, 2025

Evaluation results

MethodLinks
LLaVA-NeXT-7BRetained Tokens=2880, Base Model=LLaVA-NeXT-7B2025.03100
LLaVA-NeXT-7BRetained Tokens=2880, Base Model=LLaVA-NeXT-7B2025.03100
TwigVLMRetained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0399
TwigVLM++Retained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0399
TwigVLMRetained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0399
TwigVLM++Retained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0399
FastVRetained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0397.6
FastVRetained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0397.6
VisionZip‡Retained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0397.4
VisionZip‡Retained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0397.4
VisionZipRetained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0397.1
TwigVLM++Retained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0397.1
VisionZipRetained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0397.1
TwigVLM++Retained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0397.1
TwigVLMRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0396.2
TwigVLMRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0396.2
VisionZip‡Retained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0395.8
VisionZip‡Retained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0395.8
SparseVLMRetained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0395.4
SparseVLMRetained Tokens=640, Base Model=LLaVA-NeXT-7B2025.0395.4
VisionZipRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0393.8
VisionZipRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0393.8
MustDropRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0392.6
MustDropRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0392.6
SparseVLMRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0392.3
SparseVLMRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0392.3
FastVRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0388.2
FastVRetained Tokens=320, Base Model=LLaVA-NeXT-7B2025.0388.2