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The Llama-Embed-Nemotron-8B text embedding model now ranks as the top open and portable model on the Hugging Face MMTEB leaderboard. Why it’s leading the race: ✅ Strong performance for retrieval, reranking, classification, and bi‑text mining ✅ Effectively handles retrieval in low-resource languages and cross-lingual setups ✅ Trained on 16M query‑document pairs (8M public 8M synthetic) ✅ Combines model merging and refined hard‑negative mining for better accuracy Leaderboard 🏆 https://huggingface
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