Qwen2-VL-72B-Instruct
Multimodal
Zero-eval
#1DocVQAtest
#1VCR_en_easy
#1MMBench_test
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by Alibaba Cloud / Qwen Team
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About
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
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Timeline
AnnouncedAug 29, 2024
ReleasedAug 29, 2024
Knowledge CutoffJun 30, 2023
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Specifications
Capabilities
Multimodal
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License & Family
License
tongyi-qianwen
Performance Overview
Performance metrics and category breakdown
Overall Performance
15 benchmarks
Average Score
75.8%
Best Score
96.5%
High Performers (80%+)
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All Benchmark Results for Qwen2-VL-72B-Instruct
Complete list of benchmark scores with detailed information
| DocVQAtest | multimodal | 0.96 | 96.5% | Self-reported | |
| VCR_en_easy | multimodal | 0.92 | 91.9% | Self-reported | |
| ChartQA | multimodal | 0.88 | 88.3% | Self-reported | |
| OCRBench | multimodal | 0.88 | 87.7% | Self-reported | |
| MMBench_test | multimodal | 0.86 | 86.5% | Self-reported | |
| TextVQA | multimodal | 0.85 | 85.5% | Self-reported | |
| InfoVQAtest | multimodal | 0.84 | 84.5% | Self-reported | |
| EgoSchema | video | 0.78 | 77.9% | Self-reported | |
| RealWorldQA | multimodal | 0.78 | 77.8% | Self-reported | |
| MMVetGPT4Turbo | multimodal | 0.74 | 74.0% | Self-reported |
Showing 1 to 10 of 15 benchmarks