Qwen3.5-2B-Base is a 2B parameter transformer model supporting both text and image generation. It is optimized for local inference and serves as a base for research, completion-style prompting, or further fine-tuning.
In the Foundation models & chat space, Qwen3.5 2B Base takes a focused approach. It focuses on providing a lightweight, locally runnable base model for text and image generation tasks. Qwen3.5 2B Base is an open-source project aimed at developers. The project is open source (Apache-2.0). Qwen3.5 2B Base is available on the web and the command line, and it can be self-hosted.
It is developed by Base Compute, and the product first shipped in 2026. The project is developed in the open on GitHub with 32 stars and 3 commits in the last 90 days. Across PulseGate's embedding index, Qwen3.5 2B Base has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are text generation, image input support, and local inference.
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