NVIDIA Nemotron continues to set the standard in retrieval and reranking performance, achieving outstanding results on the MMTEB multilingual text retrieval leaderboard.
The Llama-Embed-Nemotron-8B model—embodying Nemotron’s commitment to openness through shared datasets, weights, and training recipes—now ranks as the top open and portable model on MMTEB and is perfect for a wide range of text embedding tasks like retrieval, re-ranking, semantic similarity, classification, and bi-text mining.
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📺 Watch our video to learn more about how Nemotron leads the way in multilingual text retrieval.
🖥️ Check out Llama-Embed-Nemotron-8B on Hugging Face.
📖 Read our blog on Hugging Face to learn more about the model, architectural highlights, training methodology, performance evaluation and more.
📤 Stay up to date on NVIDIA Nemotron by subscribing to NVIDIA news and following NVIDIA AI on LinkedIn, X, YouTube and the Nemotron channel on Discord.