🧠

Model

Yusufgeo 7b

Name: Yusufgeo 7b
Author: yusufads

by yusufads hf-model--yusufads--yusufgeo-7b

Free2AITools Nexus Index

37.5 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 0

R: Recency 100

Q: Quality 50

Tech Context

7 Params

4.096K Ctx

Vital Performance

0 DL / 30D

0.0%

Source →

Audited 37.5 FNI Score

7B Params

4k Context

0 Downloads

8G GPU ~7GB Est. VRAM

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	hf-model--yusufads--yusufgeo-7b
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~6.5GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__yusufads__yusufgeo_7b,
  author = {yusufads},
  title = {Yusufgeo 7b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/yusufads/YusufGEO-7B}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

yusufads. (2026). Yusufgeo 7b [Model]. Free2AITools. https://huggingface.co/yusufads/YusufGEO-7B

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run yusufgeo-7b

🤗 HF Download

huggingface-cli download yusufads/yusufgeo-7b

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Authority (A) 0

Popularity (P) 0

Recency (R) 100

Quality (Q) 50

💬 Index Insight

FNI V2.0 for Yusufgeo 7b: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:50).

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

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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 →

📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--yusufads--yusufgeo-7b
slug: yusufads--yusufgeo-7b
source: huggingface
author: yusufads
license: Apache-2.0
tags: transformers, safetensors, geo, generative-engine-optimization, seo, ai-search, llm, marketing, content-generation, text-generation, conversational, en, tr, base_model:unsloth/llama-3.2-1b-instruct-bnb-4bit, license:apache-2.0, endpoints_compatible, region:us

⚙️ Technical Specs

architecture: null
params billions: 7
context length: 4,096
pipeline tag: text-generation
vram gb: 6.5
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 0
stars: 0
forks: null

Data indexed from public sources. Updated daily.