InternVL2-26B is an open-weight vision-language model that processes images and text for multimodal understanding and generation. It is distributed through Hugging Face for developers and researchers to run with Transformers or containerized tooling.
In the Multimodal & vision space, InternVL2 26B takes a focused approach. It focuses on running multimodal image-and-text understanding locally without relying on a proprietary hosted model. InternVL2 26B is an open-source project aimed at AI researchers and developers. InternVL2 26B is open source under the MIT license. InternVL2 26B is available on the command line, and it can be self-hosted.
It is developed by OpenGVLab, and it first shipped in 2023. Development happens publicly on GitHub with 10.1k stars. It operates in a well-populated space: PulseGate tracks 14 similar projects. Among its 5 catalogued features are image understanding, text generation, and multimodal chat.
Summary written by a language model from the project’s public pages.
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