Multimodal Understanding on MME (Absolute Score and Compression Retention Rate)
2,306.5Absolute ScoreQwen2-VL 7B
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Qwen2-VL 7BBackbone=Qwen2-VL 7B, Sparsity Level=0%, Pruning Method=Dense, Pruning Type=None2026.03 | 2,306.5 | 100 | |
| LLaVA-NeXT 8BBackbone=LLaVA-NeXT 8B, Sparsity Level=0%, Pruning Method=Dense, Pruning Type=None2026.03 | 1,965.12 | 100 | |
| TAMPBackbone=Qwen2-VL 7B, Sparsity Level=60%, Pruning Method=TAMP, Pruning Type=unstructured, uniform pruning2026.03 | 1,923.3 | 83.79 | |
| ATV-PruningBackbone=Qwen2-VL 7B, Sparsity Level=60%, Pruning Method=ATV-Pruning, Pruning Type=unstructured, uniform pruning2026.03 | 1,816.56 | 85.65 | |
| ATV-PruningBackbone=LLaVA-NeXT 8B, Sparsity Level=50%, Pruning Method=ATV-Pruning, Pruning Type=unstructured, uniform pruning2026.03 | 1,801.51 | 94 | |
| SparseGPTBackbone=LLaVA-NeXT 8B, Sparsity Level=50%, Pruning Method=SparseGPT, Pruning Type=unstructured, uniform pruning2026.03 | 1,742.8 | 91.74 | |
| TAMPBackbone=LLaVA-NeXT 8B, Sparsity Level=50%, Pruning Method=TAMP, Pruning Type=unstructured, uniform pruning2026.03 | 1,732.54 | 92.67 | |
| WandaBackbone=Qwen2-VL 7B, Sparsity Level=60%, Pruning Method=Wanda, Pruning Type=unstructured, uniform pruning2026.03 | 1,637.66 | 77.78 | |
| SparseGPTBackbone=Qwen2-VL 7B, Sparsity Level=60%, Pruning Method=SparseGPT, Pruning Type=unstructured, uniform pruning2026.03 | 1,621.23 | 85.3 | |
| WandaBackbone=LLaVA-NeXT 8B, Sparsity Level=50%, Pruning Method=Wanda, Pruning Type=unstructured, uniform pruning2026.03 | 1,620.02 | 88.36 | |
| SparseGPTBackbone=LLaVA-NeXT 8B, Sparsity Level=60%, Pruning Method=SparseGPT, Pruning Type=unstructured, uniform pruning2026.03 | 1,586.34 | 76.24 | |
| TPRLToken=192*, RL Status=Methods with RL, Backbone=LLaVA-1.5-7B2026.03 | 1,554.1 | 99.4 | |
| LLaVA-1.5-7BToken=576, RL Status=Upper Bound, Backbone=LLaVA-1.5-7B2026.03 | 1,553.4 | 100 | |
| TPRLToken=144*, RL Status=Methods with RL, Backbone=LLaVA-1.5-7B2026.03 | 1,539.4 | 99.1 | |
| TPRLToken=128*, RL Status=Methods with RL, Backbone=LLaVA-1.5-7B2026.03 | 1,533.2 | 98.7 | |
| ToMeToken=192, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,485 | 95.6 | |
| VisprunerToken=192, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,475 | 95 | |
| ATV-PruningBackbone=LLaVA-NeXT 8B, Sparsity Level=60%, Pruning Method=ATV-Pruning, Pruning Type=unstructured, uniform pruning2026.03 | 1,474.65 | 77.01 | |
| SparseVLMToken=192, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,473 | 94.8 | |
| PruMerge+Token=144, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,462.4 | 94.1 | |
| VisprunerToken=128, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,460.8 | 94 | |
| PruMerge+Token=128, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,420.5 | 91.4 | |
| TAMPBackbone=LLaVA-NeXT 8B, Sparsity Level=60%, Pruning Method=TAMP, Pruning Type=unstructured, uniform pruning2026.03 | 1,385.71 | 73.75 | |
| SparseVLMToken=128, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,359.7 | 87.5 | |
| ToMeToken=128, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,343 | 86.5 | |
| FastVToken=192, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,312.5 | 84.7 | |
| FastVToken=128, RL Status=Methods without RL, Backbone=LLaVA-1.5-7B2026.03 | 1,195.4 | 77 | |
| WandaBackbone=LLaVA-NeXT 8B, Sparsity Level=60%, Pruning Method=Wanda, Pruning Type=unstructured, uniform pruning2026.03 | 1,107.72 | 64.45 |