This is an Unsloth-optimized 4-bit quantized version of Alibaba's Qwen3-VL-2B-Instruct vision-language model. It supports understanding both images and text, making it suitable for multimodal tasks. The bnb-4bit format allows efficient local inference on modest hardware while preserving vision-language capabilities.
Qwen3 VL 2B Instruct Unsloth Bnb sits in PulseGate's Foundation models & chat category. It focuses on running a small, efficient multimodal vision-language model locally with minimal memory usage. It is built as an open-source project for developers. Qwen3 VL 2B Instruct Unsloth Bnb is open source under the Apache-2.0 license. The product ships for the web and the command line, and it can be self-hosted.
Behind Qwen3 VL 2B Instruct Unsloth Bnb is Alibaba Cloud, based in China, and the product first shipped in 2023. Development happens publicly on GitHub with 68.7k stars and 1.2k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include vision-language, 4-bit quantized, and multimodal.
Latest indexed changes and source events
unsloth/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit verified by the PulseGate indexer
Other apps tracked under the same category.
