🧠
Model

Occitan Gemma 3 4b It Dora I1 Gguf

by mradermacher hf-model--mradermacher--occitan-gemma-3-4b-it-dora-i1-gguf
Nexus Index
39.1 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 29
R: Recency 98
Q: Quality 30
Tech Context
4 Params
4.096K Ctx
Vital Performance
1.5K DL / 30D
0.0%
Audited 39.1 FNI Score
4B Params
4k Context
1.5K Downloads
8G GPU ~5GB Est. VRAM
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID hf-model--mradermacher--occitan-gemma-3-4b-it-dora-i1-gguf
License Gemma
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__mradermacher__occitan_gemma_3_4b_it_dora_i1_gguf,
  author = {mradermacher},
  title = {Occitan Gemma 3 4b It Dora I1 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/occitan-gemma-3-4b-it-dora-i1-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
mradermacher. (2026). Occitan Gemma 3 4b It Dora I1 Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/occitan-gemma-3-4b-it-dora-i1-gguf

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run occitan-gemma-3-4b-it-dora-i1-gguf
🤗 HF Download
huggingface-cli download mradermacher/occitan-gemma-3-4b-it-dora-i1-gguf
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

39.1
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 29
Recency (R) 98
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Occitan Gemma 3 4b It Dora I1 Gguf: Semantic (S:50), Authority (A:0), Popularity (P:29), Recency (R:98), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

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

Technical Deep Dive

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
1.5KDownloads
🔄 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--mradermacher--occitan-gemma-3-4b-it-dora-i1-gguf
slug
mradermacher--occitan-gemma-3-4b-it-dora-i1-gguf
source
huggingface
author
mradermacher
license
Gemma
tags
transformers, gguf, gemma-3, occitan, merged, dora, conversational, oc, base_model:julienp79/occitan-gemma-3-4b-it-dora, license:gemma, endpoints_compatible, region:us, imatrix

âš™ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
1,481
stars
0
forks
0

Data indexed from public sources. Updated daily.