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๐Ÿš€ Alibaba Launches Qwen2.5-VL: SOTA Vision model

Few days back I posted about Moondream 2B and 0.5B vision model, you can read more:

Alibaba has unveiled Qwen2.5-VL, the latest evolution in their Qwen vision-language model series. Image recognition, video comprehension, visual reasoning, agent-based interactions, the model feels next level.

Key Features of Qwen2.5-VL

๐ŸŽจ State-of-the-Art Image Understanding

  • Excels in analyzing charts, diagrams, and text in images, including handwritten and multilingual text. Can be a good alternative for OCR.

  • Achieves top performance on MathVista, DocVQA, RealWorldQA, and MTVQA benchmarks. (I will post more details about this in next posts)

๐ŸŽฅ Advanced Video Comprehension

  • Processes videos over an hour long with improved summarization and event localization. (in simpler terms citations for videos)

  • Supports video-based question answering, real-time conversation, and content creation.

๐Ÿค– Powerful Visual Agent Capabilities

  • Interacts with digital tools, making decisions and automating tasks using visual and textual inputs.

  • Can perform function calling to access real-time information like flight statuses or weather updates.

๐Ÿ“ Precise Object Recognition & Reasoning

  • Understands complex object relationships in images and real-world scenes.

  • Solves mathematical problems using visual analysis and interprets distorted images.

๐Ÿ—ฃ๏ธ Multilingual Text Recognition

  • Reads text in images across English, Chinese, Japanese, Korean, Arabic, Vietnamese, and most European languages.

๐Ÿƒ๐Ÿปโ€โ™‚๏ธโ€โžก๏ธ Performance & Availability

  • ๐Ÿ† Qwen2.5-VL-72B-Instruct achieves state-of-the-art results in document comprehension, video analysis, and mathematical reasoning.

  • ๐Ÿ“Š Smaller Models, Big Impact โ€“ The 7B version outperforms GPT-4o-mini, while the 3B model surpasses the previous Qwen2-VL 7B, making it ideal for edge AI applications.

Limitations & Future Enhancements

๐Ÿ”ธ Does not support audio extraction from videos.

๐Ÿ”ธ Knowledge cutoff is June 2023, meaning it may lack recent updates.

๐Ÿ”ธ Challenges remain in counting, character recognition, and 3D spatial awareness.

Checkout their release note here: