Qwen3.5-2B is an open-source multimodal language model checkpoint supporting both text and image inputs. It is designed for developers and researchers who require advanced transformer models for natural language and vision tasks, with efficient local inference.
In the Foundation models & chat space, Qwen3.5 2B takes a focused approach. Providing developers with an open-source multimodal language model for text and image generation. It is built as an open-source project for AI researchers and developers. Qwen3.5 2B is open source under the Apache-2.0 license. Qwen3.5 2B is available on the web and the command line, and it can be self-hosted.
Behind Qwen3.5 2B is basecompute, and the product first shipped in 2026. Development happens publicly on GitHub with 32 stars and 3 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 17 similar tools. Key capabilities include text generation, image input support, and model checkpoint.
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