Qwen2-VL: To See the World More Clearly
Qwen
Alibaba released Qwen2-VL, an updated vision language model that builds on the Qwen2 architecture. The model achieves state-of-the-art results on benchmarks like MathVista and DocVQA, and can process videos longer than 20 minutes for question-answering and content creation tasks. This enables improved multimodal understanding across images of varying resolutions and extended video content compared to its predecessor Qwen-VL.
Why it matters
DEMO GITHUB HUGGING FACE MODELSCOPE API DISCORD After a year’s relentless efforts, today we are thrilled to release Qwen2-VL! Qwen2-VL is the latest version of the vision language models based on Qwen2 in the Qwen model familities. Compared with Qwen-VL, Qwen2-VL has the capabilities of: SoTA understanding of images of various resolution & ratio: Qwen2-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc. Understanding videos of 20min+: Qwen2-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc.