Mid-size 4B Qwen3 embedding model balancing quality and efficiency.
A strong 4B-parameter dense embedding model from Qwen/Alibaba. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing.
Generated from this model’s benchmarks and ranking signals. Editor reviews refine it over time.
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ollama run qwen3-embedding:4bAccess model weights, configuration files, and documentation.
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The mid-size variant of the Qwen3 Embedding series, fine-tuned from Qwen3-4B-Base using the same 3-stage contrastive + supervised + model-merging recipe as the 8B model. Supports 100+ languages, 32K context, instruction-aware embeddings, and Matryoshka output dimensions, offering a strong balance of quality and inference cost.
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