InternVL3
InternVL3 open source: 7 sizes covering text, image, and video processing, multi-modal capabilities extended to industrial image analysis
Product Details
InternVL3 is a multimodal large language model (MLLM) released by OpenGVLab as an open source, with excellent multimodal perception and reasoning capabilities. This model series includes a total of 7 sizes from 1B to 78B, which can process text, pictures, videos and other information at the same time, showing excellent overall performance. InternVL3 performs well in fields such as industrial image analysis and 3D visual perception, and its overall text performance is even better than the Qwen2.5 series. The open source of this model provides strong support for multi-modal application development and helps promote the application of multi-modal technology in more fields.
Main Features
How to Use
Target Users
This product is mainly targeted at AI developers, data scientists, image processing engineers, and researchers in related fields. For AI developers, InternVL3 provides powerful multi-modal processing capabilities that can help them quickly build and optimize multi-modal applications. For image processing engineers, the model's advantages in industrial image analysis and 3D visual perception make it an ideal choice for processing complex image tasks. Researchers can use this model to conduct research and exploration of multi-modal technology and promote the development of related fields.
Examples
In industrial production, InternVL3 is used to analyze image data on the production line, detect product quality problems in real time, and improve production efficiency.
In the field of intelligent security, this model processes video data to realize automatic identification and early warning of abnormal behaviors and enhance security capabilities.
In the field of education, InternVL3 assists teachers in producing multimedia teaching materials, combining text, pictures and videos to enrich teaching content.
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