Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
This paper introduces Qwen3 Embedding, a family of text embedding and reranking models built on Qwen3 foundation models with a multi-stage training pipeline, model merging, and LLM-synthesized multilingual data. The series covers 0.6B, 4B, and 8B sizes and achieves state-of-the-art results across multilingual embedding, retrieval, reranking, code retrieval, and cross-lingual benchmarks.
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Hugging Face