🧠
Youtu Vl 4b Instruct model by tencent
⭐ 42.7
🧠
Model

Youtu Vl 4b Instruct

by tencent tencent/youtu-vl-4b-instruct
Free2AITools Nexus Index
42.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 54
P: Popularity 38
R: Recency 67
Q: Quality 65
Tech Context
5.34 Params
4.096K Ctx
Vital Performance
4.6K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 42.7 FNI Score
5.34B Params
4k Context
4.6K Downloads
8G GPU ~6GB Est. VRAM
Dense YOUTUVLFORCONDITIONALGENERATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID tencent/youtu-vl-4b-instruct
License Other
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{tencent_youtu_vl_4b_instruct,
  author = {tencent},
  title = {Youtu Vl 4b Instruct Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/tencent/Youtu-VL-4B-Instruct}},
  note = {Accessed via Free2AITools.}
}
APA Style
tencent. (2026). Youtu Vl 4b Instruct [Model]. Free2AITools. https://huggingface.co/tencent/Youtu-VL-4B-Instruct

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run youtu-vl-4b-instruct
πŸ€— HF Download
huggingface-cli download tencent/youtu-vl-4b-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) 54
Popularity (P) 38
Recency (R) 67
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Youtu Vl 4b Instruct: Authority (A:54), Popularity (P:38), Recency (R:67), 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.

Social Proof

HuggingFace Hub
4.6KDownloads
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--tencent--youtu-vl-4b-instruct
slug
tencent--youtu-vl-4b-instruct
source
huggingface
author
tencent
license
Other
tags
transformers, safetensors, youtu_vl, text-generation, image-text-to-text, conversational, custom_code, arxiv:2601.19798, arxiv:2512.24618, license:other, region:us

βš™οΈ Technical Specs

architecture
YoutuVLForConditionalGeneration
params billions
5.34
context length
4,096
pipeline tag
image-text-to-text
vram gb
5.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
4,626
stars
0
forks
0

Data indexed from public sources. Updated daily.