Models › snowflake family

snowflake-arctic-embed-l-v2.0

Snowflake Apache 2.0 out 2 years ago

568M parameters, text in, embeddings out, 8K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #33 in Embeddings · score 93.4 method v1 Sources 3 Downloads 30d 2.6M · #54 of 619 tracked

Changed this week: 2 new quantized builds on the Hub (17 in all).2026-10-24

Can I run it?0.3GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Does it work?63.6on MTEB#18 of 64 measuredleaderboard2026-10-24
Do people use it?2.6Mdownloads, 30 days#54 of 619 we track · top 9%+3 likes, downloads +71% this week265 likesHugging Face2026-10-24

Worth reading

Picked by rule from 29 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 29 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; 17 quantized builds for local use.

  • As a service1HF Inference
  • On own hardware17quantized builds
  • Built on3935 fine-tunes · 3 adapters · 1 merges
  • In apps20Hugging Face Spaces

Top Spaces running it: lamhieu/lightweight-embeddings ♥ 12 · denniscraandijk/mtem-pruner ♥ 3 · sergeyzh/rusBEIR-lite ♥ 3 · ariansyahdedy/chat ♥ 1

Will it fit?

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

Fits a 16 GB card at INT4

About 0.3 GB at INT4, 0.7 GB at FP8, 1.4 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.3 GB of weights (estimate; KV cache and activations extra)INT40.3 GBFP8: about 0.7 GB of weights (estimate; KV cache and activations extra)FP80.7 GBBF16: about 1.4 GB of weights (estimate; KV cache and activations extra)BF161.4 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.3 GB of weights (estimate; KV cache and activations extra)INT40.3 GBFP8: about 0.7 GB of weights (estimate; KV cache and activations extra)FP80.7 GBBF16: about 1.4 GB of weights (estimate; KV cache and activations extra)BF161.4 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.

#18 of 64 on MTEB so far

63.6. 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/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/resultsSnowflake/snowflake-arctic-embed-m: 61.09 · 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/resultssentence-transformers/paraphrase-multilingual-mpnet-base-v2: 58.27 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsSnowflake/snowflake-arctic-embed-m: 57.53 · 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/results010063.6 · #18 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/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/resultsSnowflake/snowflake-arctic-embed-m: 61.09 · 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/resultssentence-transformers/paraphrase-multilingual-mpnet-base-v2: 58.27 · observed 2026-10-25 · https://huggingface.co/datasets/mteb/resultsSnowflake/snowflake-arctic-embed-m: 57.53 · 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/results010063.6 · #18 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 (2024-11-08), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-07-28: 1 repo commit2025-04-25: 1 repo commit2025-04-24: 1 repo commit2025-04-07: 2 repo commits2024-12-14: 1 repo commit2024-12-13: 1 repo commit2024-12-05: 2 repo commits2024-12-04: 12 repo commits2024-12-03: 3 repo commits2024-12-02: 1 repo commit2024-11-24: 1 repo commit2024-11-09: 1 repo commit2024-11-08: 2 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 2024-11-08 · 2024-11-08Weights 2024-11-08now · 1 provider
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-07-28: 1 repo commit2025-04-25: 1 repo commit2025-04-24: 1 repo commit2025-04-07: 2 repo commits2024-12-14: 1 repo commit2024-12-13: 1 repo commit2024-12-05: 2 repo commits2024-12-04: 12 repo commits2024-12-03: 3 repo commits2024-12-02: 1 repo commit2024-11-24: 1 repo commit2024-11-09: 1 repo commit2024-11-08: 2 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 2024-11-08 · 2024-11-08Weights 2024-11-08now · 1 provider

What people built on it

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

56 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.

17 quantized (Hugging Face model tree)35 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)3 adapters (Hugging Face model tree)17 quantized35 fine-tunes1 merge3 adapters
17 quantized (Hugging Face model tree)35 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)3 adapters (Hugging Face model tree)17 quantized35 fine-tunes1 merge3 adapters

All variants →

Reference

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

Benchmarks

11 rows

Benchmarks 11 rows

measured third-party leaderboard row (3)author-reported number from the model card or eval files (8)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 search58.56 nDCG@10 x100 (mean of 10 tasks)10 tasks, split=testleaderboard2026-10-24
measured MTEB · Embed text for search63.6 mean(task) x100 over 41 tasks41 tasks, split=testleaderboard2026-10-24
measured MTEB Reranking · Rerank search results47.47 MAP x100 (mean of 2 tasks)2 tasks, split=testleaderboard2026-10-24
author-reported BEIR · Embed text for search55.6snowflake-arctic-l-v2.0 (1024)model author2026-10-07
author-reported BEIR · Embed text for search54.3snowflake-arctic-l-v2.0 (256)model author2026-10-07
author-reported CLEF (5)51.9snowflake-arctic-l-v2.0 (256)model author2026-10-07
author-reported CLEF (Focused)52.9snowflake-arctic-l-v2.0 (1024)model author2026-10-07
author-reported CLEF (Full)54.3snowflake-arctic-l-v2.0 (1024)model author2026-10-07
author-reported CLEF (Full)53.4snowflake-arctic-l-v2.0 (256)model author2026-10-07
author-reported MIRACL · Embed text for search55.8snowflake-arctic-l-v2.0 (1024)model author2026-10-07
author-reported MIRACL · Embed text for search54.3snowflake-arctic-l-v2.0 (256)model author2026-10-07

What the card says

1 cited sentence

Summary generated, cited

The model is released under the Apache 2.0 license and supports multilingual workloads.[1][2]

  1. license
  2. “multilingual workloads in mind”

Generated 2026-10-07 15:03 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

3 use cases

What it is good at 3 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

Pipeline tagsentence-similarity
Librarysentence-transformers
ArchitecturesXLMRobertaModel
Model typexlm-roberta
Dtypefloat32
Params by dtypeF32: 567,754,752
Size bandS
MoEno
Context length8,194 (config.json max_position_embeddings)
Languagesaf, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, es, et, eu, fa, fi, fr, gl, gu, he, hi, hr, ht, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ky, lo, lt, lv, mk, ml, mn, mr, ms, my, ne, nl, pa, pl, pt, qu, ro, ru, si, sk, sl, so, sq, sr, sv, sw, ta, te, th, tl, tr, uk, ur, vi, yo, zh
PapersarXiv:2412.04506
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · XLMRobertaModel · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · XLMRobertaModel · 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-l-v2.0: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)1.4 GB · Edge (<4 GB)
FP8 (1 byte/param)0.7 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)0.3 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 56 derivatives on the Hub

finetune: 35quantized: 17merge: 1adapter: 3

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
dragonkue/snowflake-arctic-embed-l-v2.0-ko finetune — 568M S apache-2.0 dragonkue 51 2.4M
Casual-Autopsy/snowflake-arctic-embed-l-v2.0-gguf quantized gguf — — — Casual-Autopsy 15 318.8k
OpenMed/OpenMed-PII-French-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 3 98.1k
OpenMed/OpenMed-PII-Italian-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 1 98.1k
avemio/German-RAG-BGE-M3-MERGED-x-SNOWFLAKE-ARCTIC-HESSIAN-AI merge — 568M S mit avemio 2 58.7k
OpenMed/OpenMed-PII-Portuguese-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 11 56.5k
OpenMed/OpenMed-PII-German-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 0 51k
OpenMed/OpenMed-PII-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 0 49.3k
omarabb315/makeML-snowflake finetune — 568M S — omarabb315 0 22k
cstr/arctic-embed-l-v2-GGUF quantized GGUF — — apache-2.0 cstr 1 2.6k
Savyasaachin/snowflake-arctic-embed-l-v2.0-Q8_0-GGUF quantized Q8_0 — — apache-2.0 Savyasaachin 1 1.8k
claudiomello/AcademiCK-intent-classifier finetune — 568M S — claudiomello 0 1.5k
FronyAI/frony-embed-arctic-ko-0.6B-v2.5 finetune — 568M S apache-2.0 FronyAI 7 1.2k
OpenMed/OpenMed-PII-Spanish-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 1 783
serhiiseletskyi/intelli-embed-v3 quantized GGUF 568M S apache-2.0 serhiiseletskyi 2 717
FlukeTJ/snowflake-arctic-embed-l-v2.0-m2v-distilled-256 finetune — 64.0M S mit FlukeTJ 2 637
ferrisS/german-english-snowflake-arctic-embed-l-v2.0 quantized — 361M S apache-2.0 ferrisS 0 667
serhiiseletskyi/intelli-embed-v2 quantized — 568M S apache-2.0 serhiiseletskyi 2 478
denniscraandijk/dutch-english-snowflake-arctic-embed-l-v2.0 quantized — 360M S apache-2.0 denniscraandijk 0 542
JatinkInnovision/snowflake-arctic-embed-l-v2.0_all-nli finetune — 568M S — JatinkInnovision 0 479
OpenMed/OpenMed-PII-Chinese-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 1 354
fisher046/snowflake-arctic-embed-l-v2.0-Q8_0-GGUF quantized Q8_0 — — apache-2.0 fisher046 2 304
wwydmanski/arctic-pubmed-v0.1 finetune — 568M S — wwydmanski 0 400
haophancs/snowflake-arctic-embed-l-v2.0-pits finetune — 568M S — haophancs 0 370
rasyosef/snowflake-arctic-embed-l-v2.0-finetuned-amharic finetune — 568M S apache-2.0 rasyosef 0 362
cometadata/snowflake-arctic-ror-affiliations finetune — 568M S apache-2.0 cometadata 0 354
OpenMed/OpenMed-PII-Arabic-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 0 327
Desalegnn/Desu-snowflake-arctic-embed-l-v2.0-finetuned-amharic-45k finetune — 568M S apache-2.0 Desalegnn 0 323
Desalegnn/Desu-snowflake-arctic-embed-l-v2.0-finetuned-amharic-final finetune — 568M S apache-2.0 Desalegnn 0 294
wwydmanski/arctic-pubmed-v0.2 finetune — 568M S — wwydmanski 1 217
david-quiros/finetuned-snowflake-e79a91f5-6c6e-4b6d-bb90-1f543a7278c4 finetune — 568M S — david-quiros 0 247
rahulvk007/snowflake-artic-embed-l-v2.0-gguf quantized gguf — — apache-2.0 rahulvk007 0 245
LinerAI/snowflake-arctic-embed-l-v2.0-academic finetune — 568M S apache-2.0 LinerAI 0 201
CarlosRCDev/spanish-snowflake-arctic-embed-l-v2.0 quantized — 361M S apache-2.0 CarlosRCDev 0 193
keisuke-miyako/snowflake-arctic-embed-l-v2.0-gguf quantized gguf — — — keisuke-miyako 1 141
mlnomad/snowflake-arctic-embed-l-v2.0-yat finetune — 870M S apache-2.0 mlnomad 0 165
Jrinky/snowflake finetune — 568M S — Jrinky 0 162
OpenMed/OpenMed-PII-Dutch-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 0 147
OpenMed/OpenMed-PII-Hindi-SnowflakeMed-Large-568M-v1 finetune — 567M S apache-2.0 OpenMed 0 120
infosecinnovations/snowflake-arctic-embed-l-v2.0-GGUF quantized GGUF — — apache-2.0 infosecinnovations 0 115

Repository changelog

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

Repository changelog 29 commits

DateCommitSHA
2025-07-28 Add exported onnx model 'model_O4.onnx' (#18) ac6544c
2025-04-25 Upload sentencepiece.bpe.model (#14) dcf86e2
2025-04-24 Use matryoshka_dimensions to control the allowed output dimensions. (#13) 8dbebde
2025-04-07 Update README 5585c70
2025-04-07 Update README f2fa1cb
2024-12-14 update readme 7f311bb
2024-12-13 Upload README.md 5096452
2024-12-05 Upload README.md edc2df7
2024-12-05 Upload README.MD 41f336f
2024-12-04 Upload ONNX weights + Transformers.js sample code (#2) f0ff6dc
2024-12-04 Update config_sentence_transformers.json 450627b
2024-12-04 Update README.md 934f1e0
2024-12-04 Update README.md f3897e9
2024-12-04 Update README.md b713ad4
2024-12-04 Update README.md 0e9d59f
2024-12-04 Update README.md ff195b8
2024-12-04 Update README.md 8ebc5a7
2024-12-04 Update README.md fcf7896
2024-12-04 Update README.md 751a037
2024-12-04 Update README.md 11a03be
2024-12-04 Update README.md 9fd85e7
2024-12-03 Update config_sentence_transformers.json f9400d2
2024-12-03 Update config_sentence_transformers.json 880a366
2024-12-03 update sentence transformers configs 6022d0e
2024-12-02 Upload config_sentence_transformers.json 69833a9
2024-11-24 Update README.md 14cb554
2024-11-09 Upload model.safetensors de9b6c6
2024-11-08 Upload 4 files 177b28a
2024-11-08 initial commit be716f5

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for snowflake-arctic-embed-l-v2.0, 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-l-v2.0 — — — — — — — live 2026-10-25

Articles and coverage

29 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 (29) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Snowflake’s Arctic Embed 2.0 Goes Multilingualsnowflake.com official—2026-10-07exa
Snowflake Launches the World's Best Practical Text ...snowflake.com official—2026-10-07exa
Architecture graph for Snowflake/snowflake-arctic-embed-l-v2.0 ...hfviewer.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 Instruct (128x3B MoE), largest open source modelreplicate.com2024-04-242026-10-07hn
snowflake / arctic-embed-ldocs.api.nvidia.com2024-03-112026-10-07exa
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

1 paper

Papers 1

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).

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:35 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:03 UTC · Last verified 2026-10-25

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