This is a 4-bit quantized (bitsandbytes) version of Alibaba's Qwen3-VL-32B-Instruct model, optimized by Unsloth for efficient inference. It supports vision-language tasks including image understanding, visual question answering, and document analysis. The model uses a chat template optimized for tool use and can be run locally or in notebooks.
Qwen3 VL 32B Instruct Bnb is a Multimodal & vision project. It focuses on running a large vision-language model efficiently on consumer hardware with reduced memory usage. It is built as an open-source project for developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Unsloth builds and maintains Qwen3 VL 32B Instruct Bnb, and it first shipped in 2023. Development happens publicly on GitHub with 68.4k stars and 1.2k commits in the last 90 days. PulseGate's similarity index places it among 16 comparable projects.
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