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Nomic Embed Text v1.5

Nomic AI · Embedding · 137M · 8k context · Released 14 February 2024

Commercial use permitted Open weights Runs on CPU Apple Silicon

A small, fast English-focused embedding model with an 8192-token input, and one of the most common defaults for local RAG. Apache 2.0 and light enough to run comfortably on a CPU.

Strengths

  • Very small and fast, runs easily on CPU
  • Long 8192-token input for a model this size
  • Apache 2.0, and open about its training data and code

Weaknesses

  • English-focused, so weaker on multilingual content than BGE-M3
  • A general model, so domain-tuned embedders may retrieve better
  • Smaller and older than the current top of the retrieval leaderboards

Hardware requirements

QuantisationApprox. VRAMNotes
FP16~0.3GBFull precision, trivial to run on CPU or any GPU

Also runs on CPU (slower). Optimised builds available for Apple Silicon.

What you'd need to run this

Roughly what a machine to run this would need, at up to three levels of quality. Memory is the deciding factor.

Minimum to run it

FP16 · ~0.3GB needed

One 12GB GPU

NVIDIA GeForce RTX 3060 12GB

or a Mac or mini-PC with unified memory, if you prefer no discrete GPU, Mac mini M5 Pro .

At least 32GB of system RAM alongside the card.

around £700–£1,100

What else 12GB runs →

Licence

Apache 2.0 read the licence

Benchmarks

BenchmarkScoreSourceAs of
MTEB (English)62.28 nomic-embed-text-v1.5 model card (768-dim) February 2024

Nomic Embed Text v1.5: common questions

What hardware do I need to run Nomic Embed Text v1.5?
At its most compressed (FP16) it needs roughly 0.3GB of VRAM, and about 0.3GB for good quality. VRAM figures are approximate and depend on context length and settings.
Is Nomic Embed Text v1.5 free for commercial use?
Yes. Nomic Embed Text v1.5 is licensed under Apache 2.0, which permits commercial use with no meaningful conditions.
Can I run Nomic Embed Text v1.5 on Apple Silicon?
Yes. Nomic Embed Text v1.5 has builds optimised for Apple Silicon, through MLX or GGUF on a Mac.
Does Nomic Embed Text v1.5 run on CPU?
Yes, Nomic Embed Text v1.5 can run on the CPU, though generation is slower than on a GPU.
What is Nomic Embed Text v1.5's context window?
Nomic Embed Text v1.5 has a context window of 8,192 tokens, about 8k.

Availability

Recommended for

  • A lightweight default embedder for English RAG
  • CPU-only or memory-constrained setups
  • Getting a retrieval system working quickly

Run it with

Catalogue entry last verified 30 July 2026. Specifications change; verify anything you are about to spend money on.