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Qwen2.5 Vl 3b Instruct model by Qwen
⭐ 42.4
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Model

Qwen2.5 Vl 3b Instruct

by Qwen qwen/qwen2.5-vl-3b-instruct
Free2AITools Nexus Index
42.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 57
P: Popularity 76
R: Recency 38
Q: Quality 65
Tech Context
3.75 Params
32.768K Ctx
Vital Performance
8.5M DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 42.4 FNI Score
3.75B Params
32k Context
Hot 8.5M Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN2_5_VLFORCONDITIONALGENERATION Architecture
Model Information Summary
Entity Passport
Registry ID qwen/qwen2.5-vl-3b-instruct
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{qwen_qwen2_5_vl_3b_instruct,
  author = {Qwen},
  title = {Qwen2.5 Vl 3b Instruct Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct}},
  note = {Accessed via Free2AITools.}
}
APA Style
Qwen. (2026). Qwen2.5 Vl 3b Instruct [Model]. Free2AITools. https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen2.5-vl-3b-instruct
πŸ€— HF Download
huggingface-cli download qwen/qwen2.5-vl-3b-instruct
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) 57
Popularity (P) 76
Recency (R) 38
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen2.5 Vl 3b Instruct: Authority (A:57), Popularity (P:76), Recency (R:38), 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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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
8.5MDownloads
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--qwen--qwen2.5-vl-3b-instruct
slug
qwen--qwen2.5-vl-3b-instruct
source
huggingface
author
Qwen
license
tags
transformers, safetensors, qwen2_5_vl, image-to-text, multimodal, image-text-to-text, conversational, en, arxiv:2309.00071, arxiv:2409.12191, arxiv:2308.12966, text-generation-inference, endpoints_compatible, deploy:azure, region:us, eval-results

βš™οΈ Technical Specs

architecture
Qwen2_5_VLForConditionalGeneration
params billions
3.75
context length
32,768
pipeline tag
image-text-to-text
vram gb
5.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
8,509,958
stars
0
forks
0

Data indexed from public sources. Updated daily.