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NVIDIA releases Nemotron-3-Embed models for multilingual RAG

NVIDIA has released Nemotron-3-Embed, a new family of text embedding models available in 1B and 8B parameter sizes. These models are optimized for retrieval and semantic similarity tasks, offering strong multilingual and cross-lingual capabilities. Nemotron-3-Embed is designed to be a foundational component for Retrieval-Augmented Generation (RAG) systems and is ready for commercial use. The 8B version has achieved state-of-the-art performance on the multilingual RTEB leaderboard. AI

IMPACT Enhances RAG systems with strong multilingual retrieval capabilities.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NVIDIA releases Nemotron-3-Embed models for multilingual RAG

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/jacek2023 ·

    Nemotron-3-Embed 1B/8B

    <!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/nvidia/Nemotron-3-Embed-8B-BF16">https://huggingface.co/nvidia/Nemotron-3-Embed-8B-BF16</a></p> <p><a href="https://huggingface.co/nvidia/Nemotron-3-Embed-1B-BF16">https://huggingface.co/nvidia/Nemotron-3-Embed-1B-…