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Qwen3 Vl 30b A3b Instruct Gguf model by unsloth
⭐ 43.3
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Model

Qwen3 Vl 30b A3b Instruct Gguf

by unsloth unsloth/qwen3-vl-30b-a3b-instruct-gguf
Free2AITools Nexus Index
43.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 53
P: Popularity 58
R: Recency 71
Q: Quality 65
Tech Context
30 Params
4.096K Ctx
Vital Performance
110.4K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 43.3 FNI Score
30B Params
4k Context
Hot 110.4K Downloads
24G GPU ~24GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID unsloth/qwen3-vl-30b-a3b-instruct-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~23.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{unsloth_qwen3_vl_30b_a3b_instruct_gguf,
  author = {unsloth},
  title = {Qwen3 Vl 30b A3b Instruct Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
unsloth. (2026). Qwen3 Vl 30b A3b Instruct Gguf [Model]. Free2AITools. https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-vl-30b-a3b-instruct-gguf
πŸ€— HF Download
huggingface-cli download unsloth/qwen3-vl-30b-a3b-instruct-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 53
Popularity (P) 58
Recency (R) 71
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 Vl 30b A3b Instruct Gguf: Authority (A:53), Popularity (P:58), Recency (R:71), 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
110.4KDownloads
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--unsloth--qwen3-vl-30b-a3b-instruct-gguf
slug
unsloth--qwen3-vl-30b-a3b-instruct-gguf
source
huggingface
author
unsloth
license
Apache-2.0
tags
gguf, unsloth, qwen, qwen3_vl_moe, image-text-to-text, arxiv:2505.09388, arxiv:2502.13923, arxiv:2409.12191, arxiv:2308.12966, base_model:qwen/qwen3-vl-30b-a3b-instruct, license:apache-2.0, endpoints_compatible, region:us, imatrix, conversational

βš™οΈ Technical Specs

architecture
null
params billions
30
context length
4,096
pipeline tag
image-text-to-text
vram gb
23.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
110,354
stars
0
forks
0

Data indexed from public sources. Updated daily.