🧠
Qwen3 4b Instruct 2507 model by Qwen
⭐ 45.2
🧠
Model

Qwen3 4b Instruct 2507

by Qwen qwen/qwen3-4b-instruct-2507
Free2AITools Nexus Index
45.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 57
P: Popularity 77
R: Recency 48
Q: Quality 65
Tech Context
4.02 Params
32.768K Ctx
Vital Performance
11.1M DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 45.2 FNI Score
4.02B Params
32k Context
Hot 11.1M Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID qwen/qwen3-4b-instruct-2507
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{qwen_qwen3_4b_instruct_2507,
  author = {Qwen},
  title = {Qwen3 4b Instruct 2507 Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507}},
  note = {Accessed via Free2AITools.}
}
APA Style
Qwen. (2025). Qwen3 4b Instruct 2507 [Model]. Free2AITools. https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-4b-instruct-2507
πŸ€— HF Download
huggingface-cli download qwen/qwen3-4b-instruct-2507
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) 57
Popularity (P) 77
Recency (R) 48
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 4b Instruct 2507: Authority (A:57), Popularity (P:77), Recency (R:48), 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.

Social Proof

HuggingFace Hub
11.1MDownloads
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--qwen--qwen3-4b-instruct-2507
slug
qwen--qwen3-4b-instruct-2507
source
huggingface
author
Qwen
license
Apache-2.0
tags
transformers, safetensors, qwen3, text-generation, conversational, arxiv:2505.09388, license:apache-2.0, text-generation-inference, endpoints_compatible, deploy:azure, region:us, qwen, 3.1B, eval-results, deploy:sagemaker

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
4.02
context length
32,768
pipeline tag
text-generation
vram gb
5.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
11,083,271
stars
0
forks
0

Data indexed from public sources. Updated daily.