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Multimodal Reasoning Accuracy on MM-Vet
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36.2
Accuracy
mPLUG-Owl2
28.608
30.579
32.55
34.521
Dec 12, 2024
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
mPLUG-Owl2
LM=LLaMA-7B, Res.=448
2024.12
36.2
MoE-LLaVA-3.6B
LM=Phi-2-2.7B, Res.=384
2024.12
35.9
Olympus
LM=Phi-2-2.7B, Res.=384
2024.12
33.8
Imp-v1
LM=Phi-2-2.7B, Res.=384
2024.12
33.1
Mipha-3B
LM=Phi-2-2.7B, Res.=384
2024.12
32.1
TinyLLaVA
LM=Phi-2-2.7B, Res.=384
2024.12
32
LLaVA-1.5
LM=Vicuna-7B, Res.=336
2024.12
30.5
LLaVA-Phi
LM=Phi-2-2.7B, Res.=336
2024.12
28.9
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