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.
In the Foundation models & chat space, Qwen3 VL 32B Instruct Bnb takes a focused approach. 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. Qwen3 VL 32B Instruct Bnb is open source under the Apache-2.0 license. The product ships for the web, the command line, and API.
Unsloth builds and maintains Qwen3 VL 32B Instruct Bnb, and the product first shipped in 2023. Development happens publicly on GitHub with 68.4k stars and 1.2k commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 16 similar tools.
Latest indexed changes and source events
unsloth/Qwen3-VL-32B-Instruct-bnb-4bit verified by the PulseGate indexer
