🧠

Model

Qwen3 Vl 4b Instruct Q3 K M Gguf

Name: Qwen3 Vl 4b Instruct Q3 K M Gguf
Author: Elichen Skymizer

by Elichen Skymizer elichen-skymizer/qwen3-vl-4b-instruct-q3_k_m-gguf

Free2AITools Nexus Index

31.9

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 0

R: Recency 72

Q: Quality 50

Tech Context

4 Params

3.072K Ctx

Vital Performance —

Source →

Technical Constraints

Experimental / High Latency

Low FNI signal 31.9 FNI Score

4B Params

3k Context

0 Downloads

8G GPU ~5GB Est. VRAM

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	elichen-skymizer/qwen3-vl-4b-instruct-q3_k_m-gguf
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~4.3GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{elichen_skymizer_qwen3_vl_4b_instruct_q3_k_m_gguf,
  author = {Elichen Skymizer},
  title = {Qwen3 Vl 4b Instruct Q3 K M Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/elichen-skymizer/Qwen3-VL-4B-Instruct-Q3_K_M-GGUF}},
  note = {Accessed via Free2AITools.}
}

APA Style

Elichen Skymizer. (2026). Qwen3 Vl 4b Instruct Q3 K M Gguf [Model]. Free2AITools. https://huggingface.co/elichen-skymizer/Qwen3-VL-4B-Instruct-Q3_K_M-GGUF

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run qwen3-vl-4b-instruct-q3_k_m-gguf

🤗 HF Download

huggingface-cli download elichen-skymizer/qwen3-vl-4b-instruct-q3_k_m-gguf

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 0

Recency (R) 72

Quality (Q) 50

💬 Index Insight

FNI V2.0 for Qwen3 Vl 4b Instruct Q3 K M Gguf: Authority (A:0), Popularity (P:0), Recency (R:72), Quality (Q:50). 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.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--elichen-skymizer--qwen3-vl-4b-instruct-q3_k_m-gguf
slug: elichen-skymizer--qwen3-vl-4b-instruct-q3_k_m-gguf
source: huggingface
author: Elichen Skymizer
license: Apache-2.0
tags: transformers, gguf, llama-cpp, gguf-my-repo, image-text-to-text, base_model:qwen/qwen3-vl-4b-instruct, base_model:quantized:qwen/qwen3-vl-4b-instruct, license:apache-2.0, endpoints_compatible, region:us, conversational

⚙️ Technical Specs

params billions: 4
context length: 3,072
pipeline tag: image-text-to-text
vram gb: 4.3
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 0
stars: 0
forks: 0

Data indexed from public sources. Updated daily.