ErtasAI/Qwen3.5-4B is an open-source large language model designed for text generation, instruction following, and research applications. It can be run locally via CLI or Docker, supports fine-tuning, and is suitable for developers and AI researchers seeking customizable LLMs. The model is distributed with open weights for full transparency and experimentation.
In the Foundation models & chat space, Qwen3.5 4B takes a focused approach. It enables developers and researchers to run and fine-tune a capable language model locally for text-based AI tasks. It is built as an open-source project for AI researchers and developers. Qwen3.5 4B is open source under the Apache-2.0 license. Qwen3.5 4B is available on the command line, and it can be self-hosted.
It is developed by ErtasAI, and the product first shipped in 2023. Development happens publicly on GitHub with 30.4k stars and 3.6k commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 12 similar tools. Key capabilities include text generation, instruction following, and open weights.
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