🧠
Feraoun 36m model by agbalu
⭐ 39.2
🧠
Model

Feraoun 36m

by agbalu agbalu/feraoun-36m
Free2AITools Nexus Index
39.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 4
R: Recency 91
Q: Quality 65
Tech Context
0.04B Params
4.096K Ctx
Vital Performance
43 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.2 FNI Score
Tiny 0.04B Params
4k Context
43 Downloads
8G GPU ~2GB Est. VRAM
Dense FERAOUNFORVISION2SEQ Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID agbalu/feraoun-36m
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{agbalu_feraoun_36m,
  author = {agbalu},
  title = {Feraoun 36m Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/agbalu/Feraoun-36M}},
  note = {Accessed via Free2AITools.}
}
APA Style
agbalu. (2026). Feraoun 36m [Model]. Free2AITools. https://huggingface.co/agbalu/Feraoun-36M

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run feraoun-36m
πŸ€— HF Download
huggingface-cli download agbalu/feraoun-36m

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) 4
Recency (R) 91
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Feraoun 36m: Authority (A:0), Popularity (P:4), Recency (R:91), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
43Downloads
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--agbalu--feraoun-36m
slug
agbalu--feraoun-36m
source
huggingface
author
agbalu
license
Apache-2.0
tags
safetensors, feraoun, kabyle, taqbaylit, berber, amazigh, ocr, image-to-text, tifinagh, document-understanding, low-resource, custom_code, kab, license:apache-2.0, model-index, region:us

βš™οΈ Technical Specs

architecture
FeraounForVision2Seq
params billions
0.04
context length
4,096
pipeline tag
image-to-text
vram gb
1.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
43

Data indexed from public sources. Updated daily.