Codesota · Models · Qwen2-VL-2B10 results · 10 benchmarks
Model card
Qwen2-VL-2B.
unknown
§ 02 · Benchmarks
Every benchmark Qwen2-VL-2B has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | TextVQA | Multimodal · Visual Question Answering | accuracy | 79.7% | #15 | — | source ↗ |
| 02 | DocVQA | Computer Vision · Document Understanding | anls | 90.1% | #17 | — | source ↗ |
| 03 | MMBench | Multimodal · Visual Question Answering | accuracy | 74.9% | #18 | — | source ↗ |
| 04 | MVBench | Multimodal · Video Understanding | accuracy | 63.2% | #20 | — | source ↗ |
| 05 | MMStar | Multimodal · Image-Text-to-Text | accuracy | 48.0% | #21 | — | source ↗ |
| 06 | RealWorldQA | Multimodal · Visual Question Answering | accuracy | 62.9% | #23 | — | source ↗ |
| 07 | Video-MME | Multimodal · Video Understanding | accuracy | 55.6% | #24 | — | source ↗ |
| 08 | MMMU-Pro | Multimodal · Visual Question Answering | accuracy | 37.6% | #28 | — | source ↗ |
| 09 | MMMU | Multimodal · Visual Question Answering | accuracy | 41.1% | #30 | — | source ↗ |
| 10 | MMMU | Multimodal · Image-Text-to-Text | accuracy | 41.1% | #36 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where Qwen2-VL-2B actually performs.
§ 04 · Papers
1 paper with results for Qwen2-VL-2B.
- 2024-09-18· 10 results
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
10
results
0 of 10 rows marked verified.