🧠
Llama 3.1 8b S1 Full Aramed model by Omaratef3221
⭐ 40
🧠
Model

Llama 3.1 8b S1 Full Aramed

by Omaratef3221 hf-model--omaratef3221--llama-3.1-8b-s1-full-aramed
Nexus Index
40.0 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 22
R: Recency 99
Q: Quality 65
Tech Context
8 Params
4.096K Ctx
Vital Performance
788 DL / 30D
0.0%
Source →
Audited 40 FNI Score
8B Params
4k Context
788 Downloads
8G GPU ~8GB Est. VRAM
Restricted LLAMA License
Model Information Summary
Entity Passport
Registry ID hf-model--omaratef3221--llama-3.1-8b-s1-full-aramed
License LLaMA-3
Provider huggingface
💾

Compute Threshold

~7.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__omaratef3221__llama_3.1_8b_s1_full_aramed,
  author = {Omaratef3221},
  title = {Llama 3.1 8b S1 Full Aramed Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/omaratef3221/llama-3.1-8b-s1-full-aramed}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Omaratef3221. (2026). Llama 3.1 8b S1 Full Aramed [Model]. Free2AITools. https://huggingface.co/omaratef3221/llama-3.1-8b-s1-full-aramed

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run llama-3.1-8b-s1-full-aramed
🤗 HF Download
huggingface-cli download omaratef3221/llama-3.1-8b-s1-full-aramed
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
40.0
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 22
Recency (R) 99
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Llama 3.1 8b S1 Full Aramed: Semantic (S:50), Authority (A:0), Popularity (P:22), Recency (R:99), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

⚠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
788Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--omaratef3221--llama-3.1-8b-s1-full-aramed
slug
omaratef3221--llama-3.1-8b-s1-full-aramed
source
huggingface
author
Omaratef3221
license
LLaMA-3
tags
transformers, safetensors, llama, text-generation, generated_from_trainer, sft, trl, base_model:meta-llama/llama-3.1-8b, base_model:finetune:meta-llama/llama-3.1-8b, text-generation-inference, endpoints_compatible, region:us, arabic, medical, question-answering, fine-tuned, full, ar, license:llama3

⚙ī¸ Technical Specs

architecture
null
params billions
8
context length
4,096
pipeline tag
question-answering
vram gb
7.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
788
stars
0
forks
null

Data indexed from public sources. Updated daily.