Models › snowflake family

snowflake-arctic-embed-m

Snowflake Apache 2.0 out 3 years ago

109M parameters, text in, embeddings out, 512 tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #61 in Embeddings · score 86.2 method v1 Sources 3 Downloads 30d 375.7k · #189 of 619 tracked

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?61.09on MTEB#28 of 64 measuredleaderboard2026-10-24
Do people use it?375.7kdownloads, 30 days#189 of 619 we track · top 31%+0 likes, downloads −3% this week167 likesHugging Face2026-10-24

Worth reading

Picked by rule from 32 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 517 HN pts
chaoticmind75.blogspot.com 2017-09-20 517 HN pts · 67 comments 67 words about the snowflake family family
Latest · 2 months ago

AI-Generated GitHub Copilot “Autofix” Allowed Compromise of Snowflake's Jira

Wiz Red Agent discovered and exploited a script injection vulnerability in Snowflake's GitHub Actions workflow that GitHub Advanced Security missed.

  • Copilot Autofix contributed a separate fix to jira_close.yml within the same PR that contained the critical vulnerability.
  • The merged PR removed the repository's existing safe env: and jq pattern and replaced it with direct string interpolation.
wiz.io 2026-08-17 424 HN pts · 157 comments 1.1k words about the snowflake family family

25 best of 32 tracked

The 2 picks above, plus these 23. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleSnowflake AI Escapes Sandbox and Executes Malwarepromptarmor.com · 2026-03-18 · 269 HN pts
  2. ArticleNeeva acquired by Snowflakesnowflake.com · 2023-05-24 · 166 HN pts · official
  3. ArticleWhy is Snowflake so expensiveblog.devgenius.io · 2022-08-22 · 364 HN pts
  4. ArticleHacker in Snowflake extortions may be a U.S. soldierkrebsonsecurity.com · 2024-11-27 · 350 HN pts
  5. ArticleSnowflake Arctic Instruct (128x3B MoE), largest open source modelreplicate.com · 2024-04-24 · 315 HN pts
  6. CodeShow HN: ScratchDB – Open-Source Snowflake on ClickHousegithub.com · 2023-10-27 · 261 HN pts
  7. ArticleBear plus snowflake equals polar bearandysalerno.com · 2021-06-16 · 384 HN pts
  8. ArticleUS consumer spending dashboard built on data from 50M+ cards now on Snowflakeapp.snowflake.com · 2023-11-01 · 120 HN pts · official
  9. ArticleProject Snowflake: Non-blocking safe manual memory management in .NETmicrosoft.com · 2017-07-27
  10. ArticleWhy is Snowflake so Valuable?freshpaint.io · 2020-09-30
  11. ArticleDatabricks response to Snowflake's accusation of lacking integritydatabricks.com · 2021-11-15
  12. ArticleMost companies do not need Snowflake or Databrickskjhealey.medium.com · 2023-08-21
  13. ArticleSnowflakesnowflake.torproject.org · 2021-12-21
  14. ArticleSnowflake S-1sec.gov · 2020-08-24
  15. ArticleShow HN: Super Snowflake Makersupersnowflakemaker.com · 2024-12-23
  16. ArticleSnowflake to buy Crunchy Data for $250Mwsj.com · 2025-06-02
  17. ArticleShow HN: A benchmark for analytical databases (Snowflake, Druid, Redshift)benchmark.clickhouse.com · 2022-07-13
  18. ArticleRedshift vs. BigQuery vs. Snowflake benchmarkblog.fivetran.com · 2017-10-09
  19. DiscussionDo not sign a contract with Snowflakenews.ycombinator.com · 2020-12-02
  20. ArticleBuilding a personal data warehouse in Snowflake for fun and no profitthomasdziedzic0.com · 2021-01-31
  21. ArticleHow to write a novel using the snowflake method (2013)advancedfictionwriting.com · 2024-02-03
  22. ArticleSnowflake acquires Streamlit for $800M to help customers build data-based appstechcrunch.com · 2022-03-02
  23. DiscussionTwitter Announces "Snowflake" for Unique Tweet IDsengineering.twitter.com · 2010-06-02

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#Cheapest live rowIn /1MOut /1MContextQuantSeen
1 HF Inference — — — — Oct 25

All 1 provider →

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.

Served by 1 API provider; 5 quantized builds for local use; a big base for builders (53 fine-tunes, adapters and merges).

  • As a service1HF Inference
  • On own hardware5quantized builds
  • Built on5353 fine-tunes · 0 adapters · 0 merges
  • In apps49Hugging Face Spaces

Top Spaces running it: HuggingFaceFW/blogpost-fineweb-v1 ♥ 1,455 · nsarrazin/rag-tool-template ♥ 10 · huggingchat/document-parser-rag ♥ 8 · Ki-Seki/blogpost-fineweb-v1 ♥ 7

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

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.1 GB of weights (estimate; KV cache and activations extra)INT40.1 GBFP8: about 0.1 GB of weights (estimate; KV cache and activations extra)FP80.1 GBBF16: about 0.3 GB of weights (estimate; KV cache and activations extra)BF160.3 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.1 GB of weights (estimate; KV cache and activations extra)INT40.1 GBFP8: about 0.1 GB of weights (estimate; KV cache and activations extra)FP80.1 GBBF16: about 0.3 GB of weights (estimate; KV cache and activations extra)BF160.3 GB

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.

#28 of 64 on MTEB so far

61.09. 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

BAAI/bge-multilingual-gemma2: 78.95 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-8B: 75.22 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-4B: 74.6 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-base-en: 72.33 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-0.6B: 70.47 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsgoogle/embeddinggemma-300m: 69.67 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-8B: 69.44 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-4B: 68.46 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/multi-qa-MiniLM-L6-cos-v1: 67.83 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsgoogle/embeddinggemma-2: 67.53 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v3: 66.6 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-large-en-v1.5: 65.89 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-large-instruct: 65.56 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-base-en-v1.5: 65.14 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsthenlper/gte-large: 64.77 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-small-en-v1.5: 64.3 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v2-moe: 63.64 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsSnowflake/snowflake-arctic-embed-l-v2.0: 63.6 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v1: 63.6 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-m3: 63.21 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-large-v2: 62.79 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-base-v2: 62.67 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsAlibaba-NLP/gte-multilingual-base: 62.51 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v1.5: 62.2 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-large: 62.07 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-0.6B: 61.83 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-small-v2: 61.32 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsibm-granite/granite-embedding-small-english-r2: 61.07 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-base: 61 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-small: 59.69 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/all-mpnet-base-v2: 59.62 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsSnowflake/snowflake-arctic-embed-l-v2.0: 58.56 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/paraphrase-multilingual-mpnet-base-v2: 58.27 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/paraphrase-multilingual-MiniLM-L12-v2: 56.42 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsgoogle/embeddinggemma-300m: 55.69 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-large-en-v1.5: 55.44 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v2-moe: 54.81 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-base-en-v1.5: 54.75 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v3: 54.29 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsibm-granite/granite-embedding-small-english-r2: 53.93 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-small-en-v1.5: 53.86 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-large-instruct: 53.47 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsthenlper/gte-large: 53.29 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-large: 51.53 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsgoogle/embeddinggemma-2: 51.33 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v2-small-en: 51.02 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsAlibaba-NLP/gte-multilingual-base: 50.87 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v1: 50.72 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-base-v2: 49.67 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-large-v2: 49.31 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-base: 48.97 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/LaBSE: 48.81 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-small-v2: 48.46 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v1.5: 47.97 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-small: 46.43 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v2-base-en: 45.97 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/all-mpnet-base-v2: 44.54 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/paraphrase-multilingual-mpnet-base-v2: 37.14 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/paraphrase-multilingual-MiniLM-L12-v2: 35.93 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v2-base-en: 26.67 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v2-small-en: 26.47 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/LaBSE: 18.05 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/results010061.09 · #28 of 64
BAAI/bge-multilingual-gemma2: 78.95 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-8B: 75.22 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-4B: 74.6 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-base-en: 72.33 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-0.6B: 70.47 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsgoogle/embeddinggemma-300m: 69.67 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-8B: 69.44 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-4B: 68.46 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/multi-qa-MiniLM-L6-cos-v1: 67.83 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsgoogle/embeddinggemma-2: 67.53 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v3: 66.6 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-large-en-v1.5: 65.89 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-large-instruct: 65.56 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-base-en-v1.5: 65.14 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsthenlper/gte-large: 64.77 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-small-en-v1.5: 64.3 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v2-moe: 63.64 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsSnowflake/snowflake-arctic-embed-l-v2.0: 63.6 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v1: 63.6 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-m3: 63.21 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-large-v2: 62.79 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-base-v2: 62.67 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsAlibaba-NLP/gte-multilingual-base: 62.51 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v1.5: 62.2 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-large: 62.07 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsQwen/Qwen3-Embedding-0.6B: 61.83 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-small-v2: 61.32 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsibm-granite/granite-embedding-small-english-r2: 61.07 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-base: 61 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-small: 59.69 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/all-mpnet-base-v2: 59.62 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsSnowflake/snowflake-arctic-embed-l-v2.0: 58.56 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/paraphrase-multilingual-mpnet-base-v2: 58.27 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/paraphrase-multilingual-MiniLM-L12-v2: 56.42 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsgoogle/embeddinggemma-300m: 55.69 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-large-en-v1.5: 55.44 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v2-moe: 54.81 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-base-en-v1.5: 54.75 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v3: 54.29 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsibm-granite/granite-embedding-small-english-r2: 53.93 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsBAAI/bge-small-en-v1.5: 53.86 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-large-instruct: 53.47 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsthenlper/gte-large: 53.29 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-large: 51.53 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsgoogle/embeddinggemma-2: 51.33 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v2-small-en: 51.02 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsAlibaba-NLP/gte-multilingual-base: 50.87 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v1: 50.72 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-base-v2: 49.67 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-large-v2: 49.31 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-base: 48.97 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/LaBSE: 48.81 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/e5-small-v2: 48.46 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsnomic-ai/nomic-embed-text-v1.5: 47.97 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsintfloat/multilingual-e5-small: 46.43 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v2-base-en: 45.97 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/all-mpnet-base-v2: 44.54 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/paraphrase-multilingual-mpnet-base-v2: 37.14 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/paraphrase-multilingual-MiniLM-L12-v2: 35.93 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v2-base-en: 26.67 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsjinaai/jina-embeddings-v2-small-en: 26.47 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultssentence-transformers/LaBSE: 18.05 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/results010061.09 · #28 of 64

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 (2024-04-11), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-12-13: 1 repo commit2024-12-04: 2 repo commits2024-12-02: 1 repo commit2024-11-22: 1 repo commit2024-08-20: 2 repo commits2024-07-31: 1 repo commit2024-05-10: 2 repo commits2024-04-18: 2 repo commits2024-04-17: 4 repo commits2024-04-16: 11 repo commits2024-04-15: 3 repo commitsAI-Generated GitHub Copilot “Autofix” Allowed Compromise of Snowflake's Jira · 2026-08-17Snowflake AI Escapes Sandbox and Executes Malware · 2026-03-18Neeva acquired by Snowflake · 2023-05-24Why is Snowflake so expensive · 2022-08-22Hacker in Snowflake extortions may be a U.S. soldier · 2024-11-27Snowflake Arctic Instruct (128x3B MoE), largest open source model · 2024-04-24Show HN: ScratchDB – Open-Source Snowflake on ClickHouse · 2023-10-27Bear plus snowflake equals polar bear · 2021-06-16US consumer spending dashboard built on data from 50M+ cards now on Snowflake · 2023-11-01Snowflake macro photography (2013) · 2017-09-20Weights 2024-04-11 · 2024-04-11Weights 2024-04-11now · 1 provider
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-12-13: 1 repo commit2024-12-04: 2 repo commits2024-12-02: 1 repo commit2024-11-22: 1 repo commit2024-08-20: 2 repo commits2024-07-31: 1 repo commit2024-05-10: 2 repo commits2024-04-18: 2 repo commits2024-04-17: 4 repo commits2024-04-16: 11 repo commits2024-04-15: 3 repo commitsAI-Generated GitHub Copilot “Autofix” Allowed Compromise of Snowflake's Jira · 2026-08-17Snowflake AI Escapes Sandbox and Executes Malware · 2026-03-18Neeva acquired by Snowflake · 2023-05-24Why is Snowflake so expensive · 2022-08-22Hacker in Snowflake extortions may be a U.S. soldier · 2024-11-27Snowflake Arctic Instruct (128x3B MoE), largest open source model · 2024-04-24Show HN: ScratchDB – Open-Source Snowflake on ClickHouse · 2023-10-27Bear plus snowflake equals polar bear · 2021-06-16US consumer spending dashboard built on data from 50M+ cards now on Snowflake · 2023-11-01Snowflake macro photography (2013) · 2017-09-20Weights 2024-04-11 · 2024-04-11Weights 2024-04-11now · 1 provider

What people built on it

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

58 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.

5 quantized (Hugging Face model tree)53 fine-tunes (Hugging Face model tree)5 quantized53 fine-tunes
5 quantized (Hugging Face model tree)53 fine-tunes (Hugging Face model tree)5 quantized53 fine-tunes

All variants →

Reference

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

Benchmarks

4 rows

Benchmarks 4 rows

measured third-party leaderboard row (3)author-reported number from the model card or eval files (1)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.
BenchmarkValueSetting / notesReported byDate
measured MTEB · Embed text for search57.53 nDCG@10 x100 (mean of 10 tasks)10 tasks, split=testleaderboard2026-10-24
measured MTEB · Embed text for search61.09 mean(task) x100 over 41 tasks41 tasks, split=testleaderboard2026-10-24
measured MTEB Reranking · Rerank search results44.85 MAP x100 (mean of 2 tasks)2 tasks, split=testleaderboard2026-10-24
author-reported MTEB · Embed text for search54.9snowflake-arctic-embed-mmodel author2026-10-07

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

21 fields

Listed in Embeddings

Facts

Pipeline tagsentence-similarity
Librarysentence-transformers
ArchitecturesBertModel
Model typebert
Dtypefloat32
Params by dtypeF32: 108,891,648
Size bandS
MoEno
Context length512 (config.json max_position_embeddings)
PapersarXiv:2407.18887, arXiv:2405.05374
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · BertModel · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · BertModel · 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 snowflake-arctic-embed-m: 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)0.1 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: Snowflake/snowflake 58 derivatives on the Hub

quantized: 5finetune: 53

Top variants (40 shown, ranked by downloads)

Relation
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
mlc-ai/snowflake-arctic-embed-m-q0f32-MLC quantized — — — — mlc-ai 2 15.2k
HuggingFaceTB/python-edu-scorer finetune — 109M S apache-2.0 HuggingFaceTB 31 3.7k
mradermacher/snowflake-arctic-embed-m-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 1 4.8k
mradermacher/snowflake-arctic-embed-m-GGUF quantized GGUF — — apache-2.0 mradermacher 1 2.2k
Torekhan/sentence_similarity_model finetune — 109M S — Torekhan 0 1.3k
cstr/snowflake-arctic-embed-m-GGUF quantized GGUF — — apache-2.0 cstr 0 1k
zenml/finetuned-snowflake-arctic-embed-m finetune — 109M S apache-2.0 zenml 1 584
khoj-ai/timely-arctic-medium finetune — 109M S — khoj-ai 0 593
Mr-Cool/midterm-finetuned-embedding finetune — 109M S — Mr-Cool 0 486
Vira21/finetuned_arctic finetune — 109M S — Vira21 0 479
ve88ifz2/snowflake-arctic-embed-m-klej-dyk-v0.1 finetune — 109M S apache-2.0 ve88ifz2 0 474
bsmith3715/legal-ft-demo_final finetune — 109M S — bsmith3715 0 454
llm-wizard/legal-ft-v0-midterm finetune — 109M S — llm-wizard 0 425
llm-wizard/state-of-ai-embeddings finetune — 109M S — llm-wizard 0 421
rchrdgwr/finetuned-arctic-model-2 finetune — 109M S — rchrdgwr 0 403
drewgenai/demo-compare-arctic-embed-m-ft finetune — 109M S — drewgenai 0 390
drewgenai/finetuned_arctic_ft finetune — 109M S — drewgenai 0 342
XicoC/midterm-finetuned-arctic finetune — 109M S — XicoC 0 340
JoeNoss1998/Noss finetune — 109M S — JoeNoss1998 0 332
ldldld/snowflake-arctic-embed-m-finetuned finetune — 109M S — ldldld 0 327
northstaranlyticsma24/artic_ft_midterm finetune — 109M S — northstaranlyticsma24 0 321
JoeNoss1998/Niss finetune — 109M S — JoeNoss1998 0 309
Cheselle/finetuned-arctic-sentence finetune — 109M S — Cheselle 0 305
achapman/finetuned_arctic_ai_risk finetune — 109M S — achapman 0 301
jet-taekyo/snowflake_finetuned_recursive finetune — 109M S — jet-taekyo 0 300
vijayarulmuthu/finetuned_arctic_ft-a85433c9-6284-4afb-8e87-e110823d565c finetune — 109M S — vijayarulmuthu 0 289
rgtlai/ai-policy-ft finetune — 109M S — rgtlai 0 284
bsmith3715/legal-ft-cert-challenge finetune — 109M S — bsmith3715 0 284
niting089/finetuned_arctic finetune — 109M S — niting089 0 282
drewgenai/midterm-compare-arctic-embed-m-ft finetune — 109M S — drewgenai 0 281
rprav007/snowflake-arctic-embed-m-finetuned-v1 finetune — 109M S — rprav007 0 273
acpotts/finetuned_arctic finetune — 109M S — acpotts 0 249
Mdean77/legal-ft-1 finetune — 109M S — Mdean77 0 241
ThakiCloud/SKILLRET-Edge-109M finetune — 109M S apache-2.0 ThakiCloud 0 212
vincha77/finetuned_arctic finetune — 109M S — vincha77 0 189
rchrdgwr/finetuned-arctic-model finetune — 109M S — rchrdgwr 0 188
HuggingFaceFW-Dev/fine-pdfs-classification-teacher-eng_Latn-Qwen_Qwen3-235B-A22B-Instruct-2507 finetune — 109M S apache-2.0 HuggingFaceFW-Dev 1 127
versae/snowflake-arctic-embed-m-edu-scorer-lr3e4-bs32 finetune — 109M S apache-2.0 versae 0 174
philipk22/ind312-ft-v0 finetune — 109M S — philipk22 0 173
mbudisic/snowflake-arctic-embed-m-ft-pstuts finetune — 109M S — mbudisic 0 170

Repository changelog

30 commits

Repository changelog 30 commits

DateCommitSHA
2024-12-13 add scarf fc74610
2024-12-04 Update README.md 7802add
2024-12-04 Update README.md 767e63c
2024-12-02 Update readme with infinity (#17) cc17bea
2024-11-22 Update README.md 3730650
2024-08-20 Update README.md e2b128b
2024-08-20 Update README.md 6cebf51
2024-07-31 Update README.md 71bc94c
2024-05-10 Update README.md 2ca412e
2024-05-10 Update README.md 3bf73a0
2024-04-18 Update README.md (#10) 2169d31
2024-04-18 Upload new ONNX weights (#9) b88a9b1
2024-04-17 Update README.md 8d8c9ea
2024-04-17 Update README.md (#7) 4a3e961
2024-04-17 Delete onnx 0202f57
2024-04-17 Update model (previously incorrect) (#6) 5f2e92c
2024-04-16 Update sentence_bert_config.json c926fe6
2024-04-16 Add example usage for transformers.js (#5) a7ed5d0
2024-04-16 Upload ONNX weights (#4) e72201b
2024-04-16 Fix incorrect hyperlink in Model Card (#3) 19cfd1d
2024-04-16 Sentence Transformers integration (#2) ceb801b
2024-04-16 Update README.md 5a14b88
2024-04-16 Update README.md 3076ecc
2024-04-16 Update README.md 6205c72
2024-04-16 Update README.md (#1) 3d37d69
2024-04-16 Update README.md 25f813f
2024-04-16 Update README.md d5643c7
2024-04-15 Update README.md 915c599
2024-04-15 Update README.md b30c8a2
2024-04-15 Update README.md 19f9227

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for snowflake-arctic-embed-m, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
HF Inference
hf
Snowflake/snowflake-arctic-embed-m — — — — — — — live 2026-10-25

Articles and coverage

32 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.

Official2

snowflake.com2023-05-24officialHN front pageabout the snowflake familyHN 166 pts · 111 comments215 words
Snowflake is acquiring Neeva, a search company founded to make search even more intelligent at scale, to integrate generative AI capabilities into the Data Cloud. The acquisition enables teams to discover precisely the right data point, data asset, or data insight through evolving conversational paradigms. Neeva leverages generative AI and other innovations to allow users to query and discover data in new ways.written, reviewed, cited
app.snowflake.com2023-11-01officialHN front pageabout the snowflake familyHN 120 pts · 82 comments

Analysis8

wiz.io2026-08-17HN front pageabout the snowflake familyHN 424 pts · 157 comments1,086 words
Wiz Red Agent discovered and exploited a script injection vulnerability in Snowflake's GitHub Actions workflow that GitHub Advanced Security missed. The flaw became live on June 18, 2026, when PR #1218 was merged, allowing an unauthenticated user to execute arbitrary commands via a specially crafted issue title. The attack exfiltrated credentials authenticated as [email protected] to snowflakecomputing.atlassian.net from a runner at Azure IP 20.106.182.197.written, reviewed, cited
  • Copilot Autofix contributed a separate fix to jira_close.yml within the same PR that contained the critical vulnerability.
  • The merged PR removed the repository's existing safe env: and jq pattern and replaced it with direct string interpolation.
  • The workflow's protective condition reduces to (null != 'whitesource-for-github-com[bot]'), which is always true for issues events.
promptarmor.com2026-03-18HN front pageabout the snowflake familyHN 269 pts · 82 comments1,259 words
Snowflake Cortex Code CLI suffered an attack where indirect prompt injection manipulated the agent into setting the unsandboxed execution flag, bypassing validation. This enabled remote code execution that leveraged cached credentials to exfiltrate or destroy Snowflake data. A fix was released with Cortex Code CLI version 1.0.25 on February 28th, 2026.written, reviewed, cited
  • Cortex fails to validate commands inside process substitution expressions, bypassing the human-in-the-loop approval system.
blog.devgenius.io2022-08-22HN front pageabout the snowflake familyHN 364 pts · 207 comments
krebsonsecurity.com2024-11-27HN front pageabout the snowflake familyHN 350 pts · 194 comments2,265 words
Investigators suspect the hacker Kiberphant0m, who extorted companies after stealing Snowflake data, is actually a U.S. Army soldier stationed in South Korea. The breaches occurred because companies uploaded sensitive data to Snowflake accounts that were protected with nothing more than a username and password (no multi-factor authentication required). Flashpoint data links the Telegram ID 6953392511 to the alias Reverseshell, who stated they were accessing the Internet via South Korea Telecom and claimed to have hit US gov servers with default creds.written, reviewed, cited
  • The alias Vars_Secc was banned from a Russian forum after attempting to sell access to the Russian telecommunications giant Rostelecom.
replicate.com2024-04-24HN front pageabout the snowflake familyHN 315 pts · 217 comments190 words
github.com2023-10-27authorityHN front pageabout the snowflake familyHN 261 pts · 56 comments216 words
andysalerno.com2021-06-16HN front pageabout the snowflake familyHN 384 pts · 122 comments1,444 words
chaoticmind75.blogspot.com2017-09-20HN front pageabout the snowflake familyHN 517 pts · 67 comments67 words
All coverage tracked for this model (32) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Snowflake’s Arctic Embed 2.0 Goes Multilingualsnowflake.com official—2026-10-07exa
README.md at main · Snowflake-Labs/arctic-embedgithub.com—2026-10-07exa
compressed_embeddings_examples/score_arctic_embed_m_v1dot5_with_quantization.ipynb at main · Snowflake-Labs/arctic-embedgithub.com—2026-10-07exa
Snowflake-Labs/arctic-embedgithub.com—2026-10-07exa
AI-Generated GitHub Copilot “Autofix” Allowed Compromise of Snowflake's Jirawiz.io2026-08-172026-10-07hn
Snowflake AI Escapes Sandbox and Executes Malwarepromptarmor.com2026-03-182026-10-07hn
Snowflake to buy Crunchy Data for $250Mwsj.com2025-06-022026-10-07hn
Show HN: Super Snowflake Makersupersnowflakemaker.com2024-12-232026-10-07hn
Hacker in Snowflake extortions may be a U.S. soldierkrebsonsecurity.com2024-11-272026-10-07hn
Snowflake Arctic Embed M V1.5 for Enterprise Retrievalsnowflake.com official2024-07-182026-10-07exa
Snowflake Launches the World’s Best Practical Text-Embedding Model for Retrieval Use Casessnowflake.com official2024-06-172026-10-07exa
Snowflake Arctic Instruct (128x3B MoE), largest open source modelreplicate.com2024-04-242026-10-07hn
Snowflake Launches Text-Embedding Model for Retrieval Use Casessnowflake.com official2024-04-162026-10-07hn
How to write a novel using the snowflake method (2013)advancedfictionwriting.com2024-02-032026-10-07hn
US consumer spending dashboard built on data from 50M+ cards now on Snowflakeapp.snowflake.com official2023-11-012026-10-07hn
Show HN: ScratchDB – Open-Source Snowflake on ClickHousegithub.com2023-10-272026-10-07hn
Most companies do not need Snowflake or Databrickskjhealey.medium.com2023-08-212026-10-07hn
Neeva acquired by Snowflakesnowflake.com official2023-05-242026-10-07hn
Why is Snowflake so expensiveblog.devgenius.io2022-08-222026-10-07hn
Show HN: A benchmark for analytical databases (Snowflake, Druid, Redshift)benchmark.clickhouse.com2022-07-132026-10-07hn
Snowflake acquires Streamlit for $800M to help customers build data-based appstechcrunch.com2022-03-022026-10-07hn
Snowflakesnowflake.torproject.org2021-12-212026-10-07hn
Databricks response to Snowflake's accusation of lacking integritydatabricks.com2021-11-152026-10-07hn
Bear plus snowflake equals polar bearandysalerno.com2021-06-162026-10-07hn
Building a personal data warehouse in Snowflake for fun and no profitthomasdziedzic0.com2021-01-312026-10-07hn
Do not sign a contract with Snowflakenews.ycombinator.com2020-12-022026-10-07hn
Why is Snowflake so Valuable?freshpaint.io2020-09-302026-10-07hn
Snowflake S-1sec.gov2020-08-242026-10-07hn
Redshift vs. BigQuery vs. Snowflake benchmarkblog.fivetran.com2017-10-092026-10-07hn
Snowflake macro photography (2013)chaoticmind75.blogspot.com2017-09-202026-10-07hn
Project Snowflake: Non-blocking safe manual memory management in .NETmicrosoft.com2017-07-272026-10-07hn
Twitter Announces "Snowflake" for Unique Tweet IDsengineering.twitter.com2010-06-022026-10-07hn

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).

Similar models

3 models

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:36 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:04 UTC · Last verified 2026-10-25

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