Nemotron-3-Embed-1B-BF16 is NVIDIA's 1 billion parameter embedding model optimized in BF16 precision. It is designed for high-performance sentence similarity and semantic retrieval. Available on Hugging Face for integration into RAG, search, and recommendation systems.
In the Foundation models & chat space, Nemotron 3 Embed 1B takes a focused approach. It focuses on creating high-quality vector embeddings for semantic search, retrieval, and similarity applications. It is built as an open-source project for developers. Nemotron 3 Embed 1B is open source under the Apache-2.0 license. The product ships for the web, the command line, embeddable surfaces, and API.
NVIDIA builds and maintains Nemotron 3 Embed 1B, and the product first shipped in 2024. Development happens publicly on GitHub with 3.3k stars and 354 commits in the last 90 days. Key capabilities include Text Embeddings, Sentence Similarity, and BF16 Precision. It exposes integrations via a public API.
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