nomic-embed-text-v1.5

137M parameters, text in, embeddings out, 2K tokens of context.

Verified 2026-10-25 Rank #17 in Embeddings · score 101.3 method v1 Sources 3 Downloads 30d 12.4M · #7 of 619 tracked

Changed this week: 1 new quantized build on the Hub (38 in all).2026-10-24

Can I run it?0.1GB at INT4Estimatefits a 16 GB cardmethod

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24

Does it work?62.2on MTEB#24 of 64 measuredleaderboard2026-10-24

Do people use it?12.4Mdownloads, 30 days#7 of 619 we track · top 1%+6 likes, downloads −7% this week983 likesHugging Face2026-10-24

Worth reading

Picked by rule from 10 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Latest · 20 months ago

Nomic Embed Text V2: An Open Source, Multilingual, Moe Embedding Model

nomic.ai 2025-02-17 1 HN pts · 2 comments about the nomic family family

10 best of 10 tracked

The 1 pick above, plus these 9. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

ArticleNomic Embed: Training a Reproducible Long Context Text Embedderstatic.nomic.ai · undated · official
ArticleFast Retrieval with Resizable Embeddings | Nomic Platform Documentationdocs.nomic.ai · undated · official
ArticleNomic Embed: A Open Embedding Modelblog.nomic.ai · 2024-02-01 · 4 HN pts · official
ArticleMultimodal Embeddings for Unified Latent Space by Nomicblog.nomic.ai · 2024-06-05 · 2 HN pts · official
ArticleNomic Embed Matryoshka | Nomic Newsnomic.ai · 2024-02-14 · official
ArticleNomic Embed Text v1 | Nomic Newsnomic.ai · 2024-02-01 · official
ArticleNomic Text Embed | OSS AI Hubossaihub.com · undated
ArticleNomic AI Nomic Embed / nomic-embed-text-v1.5 - nolist.ainolist.ai · undated
Articlenomic-embed-text: Competitive Open Embeddingsjacar.es · 2024-05-05

Show all 9

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 38 quantized builds and 100 Spaces.

As a service0no API provider listed
On own hardware38quantized builds
Built on4040 fine-tunes · 0 adapters · 0 merges
In apps100+Hugging Face Spaces

Top Spaces running it: Xenova/adaptive-retrieval-web ♥ 77 · Xenova/webgpu-nomic-embed ♥ 18 · reddit-tools-HF/nomic-embeddings ♥ 7 · dwb2023/hf_extractor ♥ 6

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 0.1 GB at INT4, 0.2 GB at FP8, 0.3 GB at BF16: weights only, so leave room for the KV cache.

Estimate params × bytes per param × 1.2 · how we estimate

How it scores

Third-party measurements only; author-reported numbers stay in Reference, marked as such.

#24 of 64 on MTEB so far

62.2. Each tick is a model on this site with a measured MTEB row; author-reported numbers stay in Reference. Mean(task) x100 over 41 tasks. 41 tasks, split=test

Source · leaderboard · 2026-10-24

The story so far

Weights, every dated article, and repo commits on one rail.

Most coverage came in the first two weeks

Teal is the weights (2024-02-10), amber triangles are 6 dated articles (each links to it), grey ticks are repo commits.

What people built on it

78 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

78 derivatives on the Hub, most of them fine-tunes

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

GGUF nomic-ai/nomic-embed-text-v1.5-GGUF for llama.cpp, Ollama, LM Studio 2M downloads

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

8 rows

Benchmarks 8 rows

measured third-party leaderboard row (3)author-reported number from the model card or eval files (5)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.

Benchmark	Value	Setting / notes	Reported by	Date
measured MTEB · Embed text for search	47.97 nDCG@10 x100 (mean of 10 tasks)	10 tasks, split=test	leaderboard	2026-10-24
measured MTEB · Embed text for search	62.2 mean(task) x100 over 41 tasks	41 tasks, split=test	leaderboard	2026-10-24
measured MTEB Reranking · Rerank search results	46.01 MAP x100 (mean of 2 tasks)	2 tasks, split=test	leaderboard	2026-10-24
author-reported MTEB · Embed text for search	62.28	nomic-embed-text-v1.5 (768 dimension)	model author	2026-10-07
author-reported MTEB · Embed text for search	61.96	nomic-embed-text-v1.5 (512 dimension)	model author	2026-10-07
author-reported MTEB · Embed text for search	61.04	nomic-embed-text-v1.5 (256 dimension)	model author	2026-10-07
author-reported MTEB · Embed text for search	59.34	nomic-embed-text-v1.5 (128 dimension)	model author	2026-10-07
author-reported MTEB · Embed text for search	56.1	nomic-embed-text-v1.5 (64 dimension)	model author	2026-10-07

What the card says

1 cited sentence

Summary generated, cited

It utilizes Matryoshka Representation Learning to enable resizable embeddings.^[1]

“Resizable Production Embeddings with Matryoshka Represent…”

Generated 2026-10-07 15:00 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

2 use cases

What it is good at 2 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

22 fields

Listed in Embeddings

Facts

nomic-embed-text-v1.5 has 137M parameters. (safetensors metadata, observed 2026-10-24)
Context length is 2,048 tokens (2K). (config.json max_position_embeddings, observed 2026-10-24)
License: Apache 2.0 (friction: none). Permissive; patent grant. (license file, observed 2026-10-24)
Created 2024-02-10, last modified 2026-04-07. (HF API, observed 2026-10-24)

Pipeline tag	sentence-similarity
Library	sentence-transformers
Architectures	NomicBertModel
Model type	nomic_bert
Dtype	float32
Params by dtype	F32: 136,731,648
Size band	S
MoE	no
Context length	2,048 (config.json max_position_embeddings)
Languages	en
Papers	arXiv:2402.01613, arXiv:2205.13147
License	Apache 2.0 (apache-2.0)
Hub snapshot	2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · NomicBertModel · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: not in registry · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for nomic-embed-text-v1.5: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)	0.3 GB · Edge (<4 GB)
FP8 (1 byte/param)	0.2 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)	0.1 GB · Edge (<4 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Original model Family: nomic-ai/nomic 78 derivatives on the Hub

quantized: 38finetune: 40

Top variants (40 shown, ranked by downloads)

Variant	Relation	Quant	Params	Band	License	Author	Likes	Downloads
nomic-ai/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	apache-2.0	nomic-ai	139	2M
second-state/Nomic-embed-text-v1.5-Embedding-GGUF	quantized	GGUF	—	—	apache-2.0	second-state	5	38.1k
RinaChen/Guwen-nomic-embed-text-v1.5	finetune	—	137M	S	—	RinaChen	0	26.9k
mradermacher/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	apache-2.0	mradermacher	0	21.8k
gaianet/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	apache-2.0	gaianet	2	11.1k
asmud/nomic-embed-indonesian	quantized	—	137M	S	—	asmud	4	8.3k
second-state/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	apache-2.0	second-state	1	8.2k
shail-2512/nomic-embed-financial-matryoshka	finetune	—	137M	S	apache-2.0	shail-2512	2	5.1k
weizhou03/nomic-embed-text-v1.5	quantized	GGUF	137M	S	—	weizhou03	0	3.9k
RinaChen/nomic-embed-text-v1.5-Q4_K_M-GGUF	quantized	GGUF	—	—	apache-2.0	RinaChen	2	2.4k
cstr/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	apache-2.0	cstr	0	2.2k
CatSchroedinger/nomic-v1.5-financial-matryoshka	finetune	—	137M	S	apache-2.0	CatSchroedinger	0	1.5k
s3dev-ai/nomic-embed-text-v1.5-gguf	quantized	gguf	—	—	—	s3dev-ai	0	1.5k
KaiserML/RhetoriBERT	finetune	—	137M	S	apache-2.0	KaiserML	2	1.3k
msyukorai/nomic-embed-text-v1.5-Q4_0-GGUF	quantized	Q4_0	—	—	apache-2.0	msyukorai	0	1.3k
saitejasathiraju/nomic-embed-bns-legal	finetune	—	137M	S	apache-2.0	saitejasathiraju	0	1.2k
keisuke-miyako/nomic-embed-text-v1.5-gguf-q8_0	quantized	gguf	—	—	—	keisuke-miyako	1	963
YorkieOH10/nomic-embed-text-v1.5-Q8_0-GGUF	quantized	Q8_0	—	—	apache-2.0	YorkieOH10	0	990
smarttasks/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	—	smarttasks	0	829
lv12/esci-nomic-embed-text-v1_5	finetune	—	137M	S	—	lv12	1	760
simonosgoode/nomic_embed_fine_tune_law_1.5	finetune	—	137M	S	—	simonosgoode	0	778
stratalab-org/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	apache-2.0	stratalab-org	0	775
Marchris/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	apache-2.0	Marchris	0	676
ITOCJ/SciTopicNomicEmbed	finetune	—	137M	S	apache-2.0	ITOCJ	1	563
BenevolenceMessiah/nomic-embed-text-v1.5-Q8_0-GGUF	quantized	Q8_0	—	—	apache-2.0	BenevolenceMessiah	0	550
Karmukilan/nomic-embed-text-v1.5-GGUF	quantized	GGUF	—	—	apache-2.0	Karmukilan	0	517
zyj2003lj/nomic-embed-text-v1.5-Q4_K_M-GGUF	quantized	GGUF	—	—	apache-2.0	zyj2003lj	0	503
straino/nomic-embed-text-v1.5-Q8_0-GGUF	quantized	Q8_0	—	—	apache-2.0	straino	0	447
venkateshmurugadas/nomic-v1.5-financial-matryoshka	finetune	—	137M	S	apache-2.0	venkateshmurugadas	0	443
MANMEET75/nomic-embed-text-v1.5-Chatbot-matryoshka	finetune	—	137M	S	apache-2.0	MANMEET75	0	412
Noureddinesa/Invoices_NomicV1.5_2	finetune	—	137M	S	—	Noureddinesa	1	359
Zeolit/lettuce-emb-768d-v4	quantized	—	137M	S	apache-2.0	Zeolit	0	407
Noureddinesa/Invoices_NomicV1.5_1	finetune	—	137M	S	—	Noureddinesa	1	347
simonosgoode/nomic_embed_fine_tune_law	finetune	—	137M	S	—	simonosgoode	1	336
sartifyllc/MultiLinguSwahili-nomic-embed-text-v1.5-nli-matryoshka	finetune	—	137M	S	—	sartifyllc	0	384
JerryO3/test	finetune	—	137M	S	apache-2.0	JerryO3	0	342
simonosgoode/nomic_embed_fine_tune_law_v3	finetune	—	137M	S	—	simonosgoode	0	326
tintnguyen/nomic-embed-text-v1.5-ttt	finetune	—	137M	S	—	tintnguyen	0	309
badger212/nomic-embed-text-v1.5-Q8_0-GGUF	quantized	Q8_0	—	—	apache-2.0	badger212	0	309
Tazza991/nomic-embed-text-v1.5-Q5_K_M-GGUF	quantized	GGUF	—	—	apache-2.0	Tazza991	0	301

Repository changelog

30 commits

changed in the last 7 daysOther: 2026-10-24all changes

Repository changelog 30 commits

Date	Commit	SHA
2026-04-07	v5 Transformers (#57)	e9b6763
2025-07-21	Adding the rest of wrappers so finetuning for classification is supported out of the box (#53)	e5cf08a
2025-07-11	Update README.md	f752c1e
2025-04-28	Use v1.5 model in examples (#49)	a03db67
2025-03-31	Update README.md	86089c7
2025-03-31	Update README.md (#45)	03bbbd3
2025-03-24	Update Transformers.js usage to v3 (#43)	c95c249
2025-01-16	Upload optimized ONNX weights (#39)	ac6fcd7
2024-11-18	Update infintiy: port mismatch! (#37)	d802ae1
2024-11-18	Update usage with infinity (#36)	e192416
2024-08-26	Update config.json	679199c
2024-08-26	Update config.json	c810dec
2024-08-01	Update README.md	c4f06e0
2024-08-01	usage at the top (#28)	5e36d6f
2024-07-31	Update README.md	f58ec29
2024-06-05	Update README.md	b0753ae
2024-05-11	Update config.json	91d2d6b
2024-05-03	Update README.md	5c1a91b
2024-05-02	Update config.json	bf8779d
2024-04-26	Update README.md	cf11296
2024-02-23	Add layer norm usage for Transformers.js (#11)	7a5549b
2024-02-14	Update README.md	1c45008
2024-02-14	Update Transformers.js example code (#4)	2d4c59d
2024-02-14	Upload ONNX weights (#3)	6ce67c1
2024-02-14	Fix various snippets; add required safe_serialization (#2)	cd17e2b
2024-02-13	sentence-transformers (#1)	541c5a6
2024-02-13	Update README.md	332e497
2024-02-13	Update README.md	c8823c7
2024-02-13	Update README.md	4679577
2024-02-12	Update README.md	604f15e

Articles and coverage

10 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Official7

Nomic Embed: Training a Reproducible Long Context Text Embedder

static.nomic.aiofficialabout the nomic family6,559 words

nomic-embed-text-v1 is a 137M parameter, 8192 sequence length open-source model that outperforms OpenAI text-embedding-ada-002 and text-embedding-3-small on short and long-context benchmarks. The project releases training code, weights, and a training data loader with 235 million curated text pairs under an Apache 2 license to enable full replication. This model surpasses other open-source long-context options like jina-embedding-v2-base-en across MTEB and LoCo evaluations.written, reviewed, cited

The model uses Dynamic NTK interpolation at inference to scale from a 2048 training limit to an 8192 sequence length.
Runtime is roughly 25% faster for SwiGLU compared to GeGLU when using the Flash Attention repository.
For retrieval datasets, the team mines hard negatives using gte-base if they are not already mined in the training data.

Fast Retrieval with Resizable Embeddings | Nomic Platform Documentation

docs.nomic.aiofficialabout the nomic family577 words

Nomic's open-source text encoder nomic-embed-text-v1.5 supports retrieval with resizable output dimensions ranging from a minimum of 64 to a maximum of 768. Reducing dimensions to 256 increases speed but loses accuracy, which can be recovered by collecting extra smaller dimension results and reranking against the full size embeddings.written, reviewed, cited

Nomic Embed: A Open Embedding Model

blog.nomic.ai2024-02-01officialabout the nomic familyHN 4 pts · 0 comments

Nomic Embed Text V2: An Open Source, Multilingual, Moe Embedding Model

nomic.ai2025-02-17officialabout the nomic familyHN 1 pts · 2 comments

Multimodal Embeddings for Unified Latent Space by Nomic

blog.nomic.ai2024-06-05officialabout the nomic familyHN 2 pts · 0 comments

Nomic Embed Text v1 | Nomic News

nomic.ai2024-02-01officialabout the nomic family923 words

Nomic Embed Matryoshka | Nomic News

nomic.ai2024-02-14officialabout the nomic family262 words

Analysis3

Nomic Text Embed | OSS AI Hub

ossaihub.comabout the nomic family2,515 words

Nomic AI Nomic Embed / nomic-embed-text-v1.5 - nolist.ai

nolist.ai

nomic-embed-text: Competitive Open Embeddings

jacar.es2024-05-05about the nomic family1,164 words

Papers

2 papers

Papers 2

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

Nomic Embed: Training a Reproducible Long Context Text Embedder this model

Zach Nussbaum, John X. Morris, Brandon Duderstadt +1 · 2024-02-02 · PDF · HF paper page (19 upvotes)
Matryoshka Representation Learning cited in card

Aditya Kusupati, Gantavya Bhatt, Aniket Rege +8 · 2022-05-26 · PDF · HF paper page (30 upvotes)

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:33 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:00 UTC · Last verified 2026-10-25

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