🧠
Qwen3 Vl Embedding 2b model by Qwen
⭐ 49.4
🧠
Model

Qwen3 Vl Embedding 2b

by Qwen hf-model--qwen--qwen3-vl-embedding-2b
Nexus Index
49.4 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 71
R: Recency 98
Q: Quality 65
Tech Context
2 Params
4.096K Ctx
Vital Performance
2.4M DL / 30D
0.0%
Source →
Audited 49.4 FNI Score
Tiny 2B Params
4k Context
Hot 2.4M Downloads
8G GPU ~3GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--qwen--qwen3-vl-embedding-2b
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~2.8GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__qwen__qwen3_vl_embedding_2b,
  author = {Qwen},
  title = {Qwen3 Vl Embedding 2b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/qwen/qwen3-vl-embedding-2b}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Qwen. (2026). Qwen3 Vl Embedding 2b [Model]. Free2AITools. https://huggingface.co/qwen/qwen3-vl-embedding-2b

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3-vl-embedding-2b
🤗 HF Download
huggingface-cli download qwen/qwen3-vl-embedding-2b
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
49.4
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 71
Recency (R) 98
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3 Vl Embedding 2b: Semantic (S:50), Authority (A:0), Popularity (P:71), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

⚠ī¸ 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 →

📝 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
2.4MDownloads
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

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--qwen--qwen3-vl-embedding-2b
slug
qwen--qwen3-vl-embedding-2b
source
huggingface
author
Qwen
license
Apache-2.0
tags
transformers, safetensors, qwen3_vl, image-text-to-text, multimodal embedding, qwen, embedding, feature-extraction, arxiv:2601.04720, base_model:qwen/qwen3-vl-2b-instruct, base_model:finetune:qwen/qwen3-vl-2b-instruct, license:apache-2.0, endpoints_compatible, region:us, sentence-transformers, sentence-similarity

⚙ī¸ Technical Specs

architecture
null
params billions
2
context length
4,096
pipeline tag
sentence-similarity
vram gb
2.8
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
2,351,322
stars
0
forks
0

Data indexed from public sources. Updated daily.