🧠
Jina Embeddings V3 model by jinaai
⭐ 36
🧠
Model

Jina Embeddings V3

by jinaai hf-model--jinaai--jina-embeddings-v3
Nexus Index
36.0 Top 0%
S / A / P / R / Q Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
0.57B Params
4.096K Ctx
Vital Performance
5.2M DL / 30D
0.0%

--- tags: - feature-extraction - sentence-similarity - mteb - sentence-transformers language: - multilingual - af - am - ar - as - az - be - bg - bn - br - bs - ca - cs - cy - da - de - el - en - eo - es - et - eu - fa - fi - fr - fy - ga - gd - gl - gu - ha - he - hi - hr - hu - hy - id - is - it - ja - jv - ka - kk - km - kn - ko - ku - ky - la - lo - lt - lv - mg - mk - ml - mn - mr - ms - my - ne - nl - no - om - or - pa - pl - ps - pt - ro - ru - sa - sd - si - sk -...

Source →
Audited 36 FNI Score
Tiny 0.57B Params
4k Context
Hot 5.2M Downloads
8G GPU ~2GB Est. VRAM
Dense XLMROBERTAMODEL Architecture
Model Information Summary
Entity Passport
Registry ID hf-model--jinaai--jina-embeddings-v3
Provider huggingface
💾

Compute Threshold

~1.7GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__jinaai__jina_embeddings_v3,
  author = {jinaai},
  title = {Jina Embeddings V3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jinaai/jina-embeddings-v3}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
jinaai. (2026). Jina Embeddings V3 [Model]. Free2AITools. https://huggingface.co/jinaai/jina-embeddings-v3

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run jina-embeddings-v3
🤗 HF Download
huggingface-cli download jinaai/jina-embeddings-v3
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
36.0
ESTIMATED IMPACT TIER
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 0
Quality (Q) 0

đŸ’Ŧ Index Insight

FNI V2.0 for Jina Embeddings V3: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • â€ĸ Source: Unknown
Top Tier

Social Proof

HuggingFace Hub
1.1KLikes
5.2MDownloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
hf-model--jinaai--jina-embeddings-v3
source
huggingface
author
jinaai
tags
transformerspytorchonnxsafetensorsfeature-extractionsentence-similaritymtebsentence-transformerscustom_codemultilingualafamarasazbebgbnbrbscacscydadeeleneoeseteufafifrfygagdglguhahehihrhuhyidisitjajvkakkkmknkokukylaloltlvmgmkmlmnmrmsmynenlnoomorpaplpsptrorusasdsiskslsosqsrsusvswtatethtltrugukuruzvixhyizharxiv:2409.10173license:cc-by-nc-4.0model-indexregion:eu

⚙ī¸ Technical Specs

architecture
XLMRobertaModel
params billions
0.57
context length
4,096
pipeline tag
feature-extraction
vram gb
1.7
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

likes
1,109
downloads
5,196,344

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)