This is a 4 billion parameter embedding model derived from ColQwen3, optimized for retrieval tasks. It produces dense vector representations of text suitable for semantic search, RAG pipelines, and similarity matching. The model is openly available on Hugging Face and can be integrated into standard embedding workflows.
In the Foundation models & chat space, Tomoro Colqwen3 Embed 4b takes a focused approach. It focuses on generating high-quality dense embeddings for retrieval and semantic search tasks using a compact model. Tomoro Colqwen3 Embed 4b is an open-source project aimed at developers building retrieval systems. The project is open source (Open Source). Tomoro Colqwen3 Embed 4b is available on the web, the command line, embeddable surfaces, and API.
It is developed by TomoroAI, and the product first shipped in 2025.
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