🧠
Snowflake Arctic Embed L V2.0 Ko model by dragonkue
⭐ 41.6
🧠
Model

Snowflake Arctic Embed L V2.0 Ko

by dragonkue dragonkue/snowflake-arctic-embed-l-v2.0-ko
Free2AITools Nexus Index
41.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 50
R: Recency 62
Q: Quality 65
Tech Context
0.57B Params
4.096K Ctx
Vital Performance
25.6K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 41.6 FNI Score
Tiny 0.57B Params
4k Context
25.6K Downloads
8G GPU ~2GB Est. VRAM
Dense XLMROBERTAMODEL Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID dragonkue/snowflake-arctic-embed-l-v2.0-ko
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{dragonkue_snowflake_arctic_embed_l_v2_0_ko,
  author = {dragonkue},
  title = {Snowflake Arctic Embed L V2.0 Ko Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/dragonkue/snowflake-arctic-embed-l-v2.0-ko}},
  note = {Accessed via Free2AITools.}
}
APA Style
dragonkue. (2026). Snowflake Arctic Embed L V2.0 Ko [Model]. Free2AITools. https://huggingface.co/dragonkue/snowflake-arctic-embed-l-v2.0-ko

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run snowflake-arctic-embed-l-v2.0-ko
πŸ€— HF Download
huggingface-cli download dragonkue/snowflake-arctic-embed-l-v2.0-ko
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 51
Popularity (P) 50
Recency (R) 62
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Snowflake Arctic Embed L V2.0 Ko: Authority (A:51), Popularity (P:50), Recency (R:62), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Deployment reference

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
25.6KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--dragonkue--snowflake-arctic-embed-l-v2.0-ko
slug
dragonkue--snowflake-arctic-embed-l-v2.0-ko
source
huggingface
author
dragonkue
license
Apache-2.0
tags
sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, generated_from_trainer, loss:cachedgistembedloss, ko, en, arxiv:1908.10084, arxiv:2412.04506, arxiv:2407.18887, arxiv:2410.02525, license:apache-2.0, text-embeddings-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
XLMRobertaModel
params billions
0.57
context length
4,096
pipeline tag
sentence-similarity
vram gb
1.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
25,580
stars
0
forks
0

Data indexed from public sources. Updated daily.