Nomic Embed Text is a quantized GGUF version of a text embedding model hosted on Hugging Face. It belongs to the class of foundation models and carries the tasks of sentence similarity and feature extraction. The model is provided under the Apache 2.0 license.
It is delivered as files that run with llama.cpp and the llama-cpp-python library. Users install llama-cpp-python via pip and load the model by specifying the repository nomic-ai/nomic-embed-text-v1.5-GGUF together with a chosen quantized filename such as nomic-embed-text-v1.5.Q2_K.gguf. The same repository can be used directly with the llama.cpp command-line tools on macOS and Linux. Commands include starting a local OpenAI-compatible server with a web UI or running inference from the terminal.
The model was created by Nomic AI. It has been liked 121 times on Hugging Face and the organization maintains 1.18k followers there. No pricing information appears for the model itself because it is distributed as an open-source artifact under the stated license.
In the Foundation models & chat space, Nomic Embed Text takes a focused approach. It focuses on generating high-quality text embeddings locally for semantic search and RAG applications without cloud APIs. Nomic Embed Text is an open-source project aimed at developers. The project is open source (MIT). It runs on the web, the command line, and embeddable surfaces, and it can be self-hosted.
Behind Nomic Embed Text is Nomic AI, and the product first shipped in 2023. The project is developed in the open on GitHub with 121.2k stars and 1.2k commits in the last 90 days. PulseGate's similarity index places it among 5 comparable tools. Among its 4 catalogued features are text embeddings, GGUF format, and local inference.
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