Qwen2-VL-7B-Instruct is an open-source 7-billion-parameter vision-language model from the Qwen team. It can process images and videos alongside text, supporting tasks such as visual question answering, document understanding, and video analysis. The model is distributed with full weights on Hugging Face and is designed for local or hosted inference using standard transformer libraries.
Qwen2 VL 7B Instruct is a Foundation models & chat project. It focuses on understanding and reasoning over mixed image, video, and text inputs in a single model. It is built as an open-source project for developers. The project is open source (Apache-2.0). Qwen2 VL 7B Instruct is available on the web, the command line, and API.
Qwen builds and maintains Qwen2 VL 7B Instruct, and it first shipped in 2024. The project is developed in the open on GitHub with 19.7k stars. The category is crowded — PulseGate's index counts 25 comparable apps. Among its 5 catalogued features are Vision Language Model, Image Understanding, and Video Understanding.
Summary written by a language model from the project’s public pages.
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