🧠
Model

Qwen3 4b Pt Synthdolly 1a E3

by kairawal hf-model--kairawal--qwen3-4b-pt-synthdolly-1a-e3
Nexus Index
37.4 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 7
R: Recency 96
Q: Quality 65
Tech Context
4 Params
4.096K Ctx
Vital Performance
81 DL / 30D
0.0%
Audited 37.4 FNI Score
4B Params
4k Context
81 Downloads
8G GPU ~5GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--kairawal--qwen3-4b-pt-synthdolly-1a-e3
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~4.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__kairawal__qwen3_4b_pt_synthdolly_1a_e3,
  author = {kairawal},
  title = {Qwen3 4b Pt Synthdolly 1a E3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/kairawal/qwen3-4b-pt-synthdolly-1a-e3}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
kairawal. (2026). Qwen3 4b Pt Synthdolly 1a E3 [Model]. Free2AITools. https://huggingface.co/kairawal/qwen3-4b-pt-synthdolly-1a-e3

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3-4b-pt-synthdolly-1a-e3
🤗 HF Download
huggingface-cli download kairawal/qwen3-4b-pt-synthdolly-1a-e3
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

37.4
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 7
Recency (R) 96
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3 4b Pt Synthdolly 1a E3: Semantic (S:50), Authority (A:0), Popularity (P:7), Recency (R:96), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

Uploaded finetuned model

  • Developed by: kairawal
  • License: apache-2.0
  • Finetuned from model : unsloth/qwen3-4b

This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.

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
81Downloads
🔄 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--kairawal--qwen3-4b-pt-synthdolly-1a-e3
slug
kairawal--qwen3-4b-pt-synthdolly-1a-e3
source
huggingface
author
kairawal
license
Apache-2.0
tags
transformers, safetensors, qwen3, text-generation, text-generation-inference, unsloth, conversational, en, license:apache-2.0, endpoints_compatible, region:us

âš™ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
81
stars
0
forks
0

Data indexed from public sources. Updated daily.