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Nomic-embed-text-v1.5-Embedding-GGUF

Name: Nomic-embed-text-v1.5-Embedding-GGUF
Author: second-state

by second-state · source Hugging Face · updated 2024-07-18

apache-2.086 MB~1 GB RAMsource aliveunlabeled

embedding model by second-state, gguf files on Hugging Face.

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Source and license

Source: https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF
License: apache-2.0
Requirements: about 1 GB of RAM, 86 MB on disk (estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models). Runs with llama.cpp.
Tags: sentence-transformers gguf sentence-similarity en endpoints_compatible feature-extraction

Numbers

2,749 downloads on Hugging Face
7 likes
license apache-2.0
0.1 GB for nomic-embed-text-v1.5-Q4_K_M.gguf
4,402,710 npm downloads a week for @huggingface/transformers
latest @huggingface/transformers@4.3.0

Numbers as of 2026-10-02 20:53 UTC, from the source API.

Summary

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Files

file	quant	size
`nomic-embed-text-v1.5-Q2_K.gguf`	Q2_K	58 MB
`nomic-embed-text-v1.5-Q3_K_L.gguf`	Q3_K_L	77 MB
`nomic-embed-text-v1.5-Q3_K_M.gguf`	Q3_K_M	73 MB
`nomic-embed-text-v1.5-Q3_K_S.gguf`	Q3_K_S	66 MB
`nomic-embed-text-v1.5-Q4_0.gguf`	Q4_0	80 MB
`nomic-embed-text-v1.5-Q4_K_M.gguf`	Q4_K_M	86 MB
`nomic-embed-text-v1.5-Q4_K_S.gguf`	Q4_K_S	80 MB
`nomic-embed-text-v1.5-Q5_0.gguf`	Q5_0	93 MB
`nomic-embed-text-v1.5-Q5_K_M.gguf`	Q5_K_M	98 MB
`nomic-embed-text-v1.5-Q5_K_S.gguf`	Q5_K_S	93 MB
`nomic-embed-text-v1.5-Q6_K.gguf`	Q6_K	108 MB
`nomic-embed-text-v1.5-Q8_0.gguf`	Q8_0	139 MB
`nomic-embed-text-v1.5-f16.gguf`	F16	262 MB

From the source README

Nomic-embed-text-v1.5-Embedding-GGUF

Original Model

nomic-ai/nomic-embed-text-v1.5

Run with LlamaEdge

LlamaEdge version: v0.12.3 and above

Context size: `768`

Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:nomic-embed-text-v1.5-f16.gguf \
    llama-api-server.wasm \
    --prompt-template embedding \
    --ctx-size 768 \
    --model-name nomic-embed-text-v1.5

Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| nomic-embed-text-v1.5-Q2_K.gguf | Q2_K | 2 |60.9 MB| smallest, significant quality loss - not recommended for most purposes |
| nomic-embed-text-v1.5-Q3_K_L.gguf | Q3_K_L | 3 | 80.7 MB| small, substantial quality loss |
| nomic-embed-text-v1.5-Q3_K_M.gguf | Q3_K_M | 3 | 76.3 MB| very small, high quality loss |
| nomic-embed-text-v1.5-Q3_K_S.gguf | Q3_K_S | 3 | 68.8 MB| very small, high quality loss |
| nomic-embed-text-v1.5-Q4_0.gguf | Q4_0 | 4 | 84.8 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [nomic-embed-text-v1.5-Q4_K_M.gguf](https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF/blob/main/nom…

Source: https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF

Card id model:hf:second-state/Nomic-embed-text-v1.5-Embedding-GGUF · collected 2026-10-02 20:53 UTC · JSON