Snowflake/snowflake-arctic-embed-m-v2.0
sentence-similarity model by Snowflake
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Model card & documentation
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Snowflake's Arctic-embed-m-v2.0 Snowflake arctic-embed-m-v2.0 is the newest addition to the suite of embedding models Snowflake has released optimizing for retrieval performance and inference efficiency. Arctic Embed 2.0 introduces a new standard for multilingual embedding models, combining high-quality multilingual text retrieval without sacrificing performance in English. Released under the permissive Apache 2.0 license, Arctic Embed 2.0 is ideal for applications that demand reliable, enterprise-grade multilingual search and retrieval at scale. Key Features: Unlike most other open-source models, Arctic-embed-m-v2.0 excels across English (via MTEB Retrieval) and multilingual (via MIRACL and CLEF). You no longer need to support models to empower high-quality English and multilingual retrieval. All numbers mentioned below are the average NDCG@10 across the dataset being discussed. Aside from high-quality retrieval, arctic delivers embeddings that are easily compressible. By leveraging vector truncation via MRL to decrease vector size by 3x with about 3% degradation in quality. Combine MRLed vectors with vector…
Read the full model card ↗ · Preview checked 2026-10-01T06:47:24.087Z
Inside the original model card — Document outline
- News
- Models
- Quality Benchmarks
- Usage
- Using Sentence Transformers
- Using Huggingface Transformers
- Using Huggingface Transformers.js
- Contact
- License
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Snowflake/snowflake-arctic-embed-m-v2.0 is a sentence-similarity model repository published by Snowflake on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 127,390
- Cumulative likes
- 108
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 305,368,320
- Architecture
- GteModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2024-11-08T16:52:25.000Z
- Last modified
- 2025-04-24T17:37:05.000Z
Compatibility and lineage
Reported languages: af, 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
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-01T06:40:24.499Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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