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⚡️ Exciting Release: Qwen3-Embedding & Qwen3-Reranker! 

✨ Key Features:  
✅ Models with 0.6B, 4B, and 8B parameters  
✅ Supports 119 languages  
✅ SOTA on MMTEB, MTEB, and MTEB-Code  
✅ Open code on Hugging Face, GitHub, and ModelScope  
✅ Access via API on Alibaba Cloud  

🔍 Applications: Document search, RAG, classification, sentiment analysis, code search, and more!  

🔗 Links:  
Hugging Face: https://huggingface.co/collections/Qwen/qwen3-embedding-6841b2055b99c44d9a4c371f  
Qwen3-Reranker: https://huggingface.co/collections/Qwen/qwen3-reranker-6841b22d0192d7ade9cdefea  
GitHub: https://github.com/QwenLM/Qwen3-Embedding

Exciting advancements in natural language processing with Qwen3! These models offer impressive multilingual capabilities and robust performance across various benchmarks. Ideal for enhancing search functionalities and data analysis tasks. Looking forward to exploring their potential applications further.