🧠
Model

Qwen3 Vl 8b Thinking Vcb8k

by alxxtexxr hf-model--alxxtexxr--qwen3-vl-8b-thinking-vcb8k
Nexus Index
39.9 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 6
R: Recency 99
Q: Quality 65
Tech Context
8 Params
8.192K Ctx
Vital Performance
64 DL / 30D
0.0%
Audited 39.9 FNI Score
8B Params
8k Context
64 Downloads
8G GPU ~8GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--alxxtexxr--qwen3-vl-8b-thinking-vcb8k
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~7.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__alxxtexxr__qwen3_vl_8b_thinking_vcb8k,
  author = {alxxtexxr},
  title = {Qwen3 Vl 8b Thinking Vcb8k Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/alxxtexxr/qwen3-vl-8b-thinking-vcb8k}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
alxxtexxr. (2026). Qwen3 Vl 8b Thinking Vcb8k [Model]. Free2AITools. https://huggingface.co/alxxtexxr/qwen3-vl-8b-thinking-vcb8k

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3-vl-8b-thinking-vcb8k
🤗 HF Download
huggingface-cli download alxxtexxr/qwen3-vl-8b-thinking-vcb8k
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

39.9
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 6
Recency (R) 99
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3 Vl 8b Thinking Vcb8k: Semantic (S:50), Authority (A:0), Popularity (P:6), Recency (R:99), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive

âš 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
64Downloads
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--alxxtexxr--qwen3-vl-8b-thinking-vcb8k
slug
alxxtexxr--qwen3-vl-8b-thinking-vcb8k
source
huggingface
author
alxxtexxr
license
Apache-2.0
tags
transformers, safetensors, qwen3_vl, image-text-to-text, text-generation-inference, unsloth, trl, conversational, en, base_model:unsloth/qwen3-vl-8b-thinking, base_model:finetune:unsloth/qwen3-vl-8b-thinking, license:apache-2.0, endpoints_compatible, region:us

âš™ī¸ Technical Specs

architecture
null
params billions
8
context length
8,192
pipeline tag
image-text-to-text
vram gb
7.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
64
stars
0
forks
null

Data indexed from public sources. Updated daily.