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Visual Reasoning and Instruction Following on MM-Vet

75.2Overall ScoreVLsI-7B
33.644.455.266Feb 16, 2024Apr 4, 2024May 22, 2024Jul 10, 2024Aug 27, 2024Oct 14, 2024Dec 2, 2024

Evaluation results

MethodLinks
VLsI-7BParameters=7B2024.1275.2
Phantom-7BParameters=7B2024.1270.8
Qwen2-VL-7BParameters=7B2024.1262
CogVLM2-8BParameters=8B2024.1260.4
MiniCPM-V2.6-8BParameters=8B2024.1260
LLaVA-OneVision-7BParameters=7B2024.1257.5
TroL-7BParameters=7B2024.1254.7
InternVL2-8BParameters=8B2024.1254.2
MiniGemini-HD-13BParameters=13B2024.1250.5
VILA2-8BParameters=8B2024.1250
LLaVA-NeXT-13BParameters=13B2024.1247.3
MM1-MoE-7B×32Parameters=7B×322024.1245.2
VILA1.5-13BParameters=13B2024.1244.3
LLaVA-NeXT-7BParameters=7B2024.1243.9
VILA1.5-8BParameters=8B2024.1243.2
MM1-7BParameters=7B2024.1242.1
MiniGemini-HD-7BParameters=7B2024.1241.3
DPOAlignment method=DPO, Base Model=LLaVA-1.5-13b2024.0241.2
Rejection-samplingAlignment method=Rejection-sampling, Base Model=LLaVA-1.5-13b2024.0238
LLAVA-RLHF-13bModel=LLAVA-RLHF-13b2024.0237.2
Standard SFTAlignment method=Standard SFT, Base Model=LLaVA-1.5-13b2024.0236.5
LLaVA-1.5-13bModel=LLaVA-1.5-13b2024.0236.3
SteerLMAlignment method=SteerLM, Base Model=LLaVA-1.5-13b2024.0235.2