🧠
Qwen3 4b Gguf model by electricpipelines
⭐ 37.5
🧠
Model

Qwen3 4b Gguf

by electricpipelines electricpipelines/qwen3-4b-gguf
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 78
Q: Quality 50
Tech Context
4 Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
4B Params
4k Context
0 Downloads
8G GPU ~5GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID electricpipelines/qwen3-4b-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{electricpipelines_qwen3_4b_gguf,
  author = {electricpipelines},
  title = {Qwen3 4b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/electricpipelines/Qwen3-4B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
electricpipelines. (2026). Qwen3 4b Gguf [Model]. Free2AITools. https://huggingface.co/electricpipelines/Qwen3-4B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-4b-gguf
πŸ€— HF Download
huggingface-cli download electricpipelines/qwen3-4b-gguf

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) 0
Recency (R) 78
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 4b Gguf: Authority (A:0), Popularity (P:0), Recency (R:78), 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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⚠️ 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.
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--electricpipelines--qwen3-4b-gguf
slug
electricpipelines--qwen3-4b-gguf
source
huggingface
author
electricpipelines
license
Apache-2.0
tags
gguf, text-generation, arxiv:2309.00071, arxiv:2505.09388, base_model:qwen/qwen3-4b, base_model:quantized:qwen/qwen3-4b, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
4
context length
4,096
pipeline tag
text-generation
vram gb
4.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.