Papers › R1-Onevision:An Open-Source Multimodal Large Language Model Capable of Deep Reasoning

R1-Onevision:An Open-Source Multimodal Large Language Model Capable of Deep Reasoning

24 Feb 2025ongoing 2025 2archive 2025-07-28

Yi Yang*, Xiaoxuan He*, Hongkun Pan*, Xiyan Jiang, Yan Deng, Xingtao Yang, Haoyu Lu, Minfeng Zhu†, Bo Zhang†, Wei Chen†

R1-OneVision is a versatile multimodal reasoning large model, designed to tackle complex visual reasoning tasks. It seamlessly integrates visual and textual data to offer precise interpretations of multimodal information, excelling in areas such as mathematics, science, deep image understanding, and logical reasoning. With its robust ability to perform multimodal reasoning, R1-OneVision emerges as a powerful AI assistant capable of addressing a wide range of problem-solving challenges across different domains.

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Fancy-MLLM/R1-onevision pytorchApache-2.0 report

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Language ModelingLanguage ModellingLarge Language ModelLogical ReasoningMultimodal Large Language ModelMultimodal ReasoningVisual Reasoning

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R1-Onevision

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