InternVL3_5-1B is a 1-billion-parameter multimodal model developed by OpenGVLab. It processes both images and text, supporting vision-language tasks such as image captioning, visual question answering, and multimodal chat. The model is available on Hugging Face and optimized for local or self-hosted inference.
InternVL3 5 1B sits in PulseGate's Foundation models & chat category. It focuses on running efficient multimodal vision-language inference locally with a small 1B parameter model. InternVL3 5 1B is an open-source project aimed at developers. The project is open source (MIT). It runs on the web, the command line, and API.
OpenGVLab builds and maintains InternVL3 5 1B, and the product first shipped in 2023. The project is developed in the open on GitHub with 10.1k stars. Among its 4 catalogued features are vision-Language, Image Understanding, and Chat Templates.
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