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.
Nemotron 3 Embed 1B is an Embeddings & retrieval project. 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. It ships for the web, the command line, embeddable surfaces, and API.
Behind Nemotron 3 Embed 1B is NVIDIA, and it first shipped in 2024. Development happens publicly on GitHub with 3.3k stars and 354 commits in the last 90 days. Among its 3 catalogued features are Text Embeddings, Sentence Similarity, and BF16 Precision. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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