NVIDIA's Nemotron-3-Embed-8B-BF16 is an 8 billion parameter embedding model optimized for sentence similarity and semantic feature extraction. It is compatible with the sentence-transformers library and can be used for RAG pipelines, semantic search, and clustering. The model is available in BF16 precision on Hugging Face.
Nemotron 3 Embed 8B sits in PulseGate's Embeddings & retrieval category. It focuses on generating high-quality text embeddings for semantic search, retrieval, and similarity applications. It is built as an open-source project for developers. The project is open source (Apache-2.0). It ships for the web, the command line, and embeddable surfaces, and it can be self-hosted.
NVIDIA builds and maintains Nemotron 3 Embed 8B, and it first shipped in 2023. The project is developed in the open on GitHub with 87.2k stars and 3k commits in the last 90 days. Key capabilities include Sentence Embeddings, Feature Extraction, and Sentence Transformers.
Summary written by a language model from the project’s public pages.
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