InternVL3 38B [\[π GitHub\]](https://github.com/OpenGVLab/InternVL) [\[π InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[π InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[π InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[π InternVL2.5 MPO\]](https://huggingface.co/papers/2411.10442) [\[π InternVL3\]](https://huggingface.co/papers/2504.10479) [\[π Blog\]](https://internvl.github.io/blog/) [\[π¨οΈ Chat Demo\]](https://internvl.opengvlab.com/) [\[π€ HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[π Quick Start\]]( quick start) [\[π Documents\]](https://internvl.readthedocs.io/en/latest/) Introduction We introduce InternVL3, an advanced multimodal large language model (MLLM) series that demonstrates superior overall performance. Compared to InternVL 2.5, InternVL3 exhibits superior multimodal perception and reasoning capabilities, while further extending its multimodal capabilities to encompass tool usage, GUI agents, industrial image analysis, 3D vision perception, and more. Additionally, we compare InternVL3 with Qwen2.5 Chat models, whose corresponding pre trained base models are employed as the initialization of the lanβ¦
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