Nemotron-3 Embed 1B Q4_K_M GGUF is a quantized GGUF distribution of a text-embedding model for sentence similarity, semantic search, and retrieval. It is intended for developers running local inference with tools such as llama.cpp or LM Studio.
Nemotron 3 Embed 1B Q4 K M sits in PulseGate's Embeddings & retrieval category. It focuses on running a compact embedding model locally for semantic search, retrieval, and RAG applications. Nemotron 3 Embed 1B Q4 K M is an open-source project aimed at developers and machine learning practitioners. Nemotron 3 Embed 1B Q4 K M is open source under the MIT license. Nemotron 3 Embed 1B Q4 K M is available on the command line and embeddable surfaces, and it can be self-hosted.
Behind Nemotron 3 Embed 1B Q4 K M is zenmagnets, and it first shipped in 2023. The project is developed in the open on GitHub with 125.7k stars and 1.3k commits in the last 90 days. Key capabilities include sentence similarity, text embeddings, and semantic search.
Summary written by a language model from the project’s public pages.
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