🧠
Qwen3 Vl 4b Thinking model by Furiosa Ai
⭐ 42.5
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Model

Qwen3 Vl 4b Thinking

by Furiosa Ai furiosa-ai/qwen3-vl-4b-thinking
Free2AITools Nexus Index
42.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 38
R: Recency 100
Q: Quality 65
Tech Context
4.44 Params
32.768K Ctx
Vital Performance
4.4K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 42.5 FNI Score
4.44B Params
32k Context
4.4K Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN3VLFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID furiosa-ai/qwen3-vl-4b-thinking
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{furiosa_ai_qwen3_vl_4b_thinking,
  author = {Furiosa Ai},
  title = {Qwen3 Vl 4b Thinking Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/furiosa-ai/Qwen3-VL-4B-Thinking}},
  note = {Accessed via Free2AITools.}
}
APA Style
Furiosa Ai. (2026). Qwen3 Vl 4b Thinking [Model]. Free2AITools. https://huggingface.co/furiosa-ai/Qwen3-VL-4B-Thinking

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-vl-4b-thinking
πŸ€— HF Download
huggingface-cli download furiosa-ai/qwen3-vl-4b-thinking

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 38
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 Vl 4b Thinking: Authority (A:0), Popularity (P:38), Recency (R:100), 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.

Social Proof

HuggingFace Hub
4.4KDownloads
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--furiosa-ai--qwen3-vl-4b-thinking
slug
furiosa-ai--qwen3-vl-4b-thinking
source
huggingface
author
Furiosa Ai
license
Apache-2.0
tags
furiosa-llm, safetensors, qwen3_vl, furiosa-ai, qwen3-vl, image-text-to-text, conversational, base_model:qwen/qwen3-vl-4b-thinking, base_model:finetune:qwen/qwen3-vl-4b-thinking, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
Qwen3VLForConditionalGeneration
params billions
4.44
context length
32,768
pipeline tag
image-text-to-text
vram gb
5.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
4,366

Data indexed from public sources. Updated daily.