Qwen2.5 VL 7B Instruct
Multimodal
Zero-eval
#1MobileMiniWob++_SR
#1MLVU
#1LongVideoBench
+21 more
by Alibaba Cloud / Qwen Team
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About
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
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Timeline
AnnouncedJan 26, 2025
ReleasedJan 26, 2025
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Specifications
Capabilities
Multimodal
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License & Family
License
Apache 2.0
Performance Overview
Performance metrics and category breakdown
Overall Performance
32 benchmarks
Average Score
64.5%
Best Score
95.7%
High Performers (80%+)
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All Benchmark Results for Qwen2.5 VL 7B Instruct
Complete list of benchmark scores with detailed information
| DocVQA | multimodal | 0.96 | 95.7% | Self-reported | |
| MobileMiniWob++_SR | multimodal | 0.91 | 91.4% | Self-reported | |
| Android Control Low_EM | multimodal | 0.91 | 91.4% | Self-reported | |
| ChartQA | multimodal | 0.87 | 87.3% | Self-reported | |
| OCRBench | multimodal | 0.86 | 86.4% | Self-reported | |
| TextVQA | multimodal | 0.85 | 84.9% | Self-reported | |
| ScreenSpot | multimodal | 0.85 | 84.7% | Self-reported | |
| MMBench | multimodal | 0.84 | 84.3% | Self-reported | |
| InfoVQA | multimodal | 0.83 | 82.6% | Self-reported | |
| AITZ_EM | multimodal | 0.82 | 81.9% | Self-reported |
Showing 1 to 10 of 32 benchmarks
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