Qwen2.5 VL 3B Instruct Introduction In the past five months since Qwen2 VL’s release, numerous developers have built new models on the Qwen2 VL vision language models, providing us with valuable feedback. During this period, we focused on building more useful vision language models. Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5 VL. Key Enhancements: Understand things visually : Qwen2.5 VL is not only proficient in recognizing common objects such as flowers, birds, fish, and insects, but it is highly capable of analyzing texts, charts, icons, graphics, and layouts within images. Being agentic : Qwen2.5 VL directly plays as a visual agent that can reason and dynamically direct tools, which is capable of computer use and phone use. Understanding long videos and capturing events : Qwen2.5 VL can comprehend videos of over 1 hour, and this time it has a new ability of cpaturing event by pinpointing the relevant video segments. Capable of visual localization in different formats : Qwen2.5 VL can accurately localize objects in an image by generating bounding boxes or points, and it can provide stable JSON outputs for coordinates and attributes. Generati…
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