🧠
Model

Yusufgeo 7b

by yusufads yusufads/yusufgeo-7b
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 0
R: Recency 70
Q: Quality 50
Tech Context
7 Params
4.096K Ctx
Vital Performance —

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 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 yusufads/yusufgeo-7b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{yusufads_yusufgeo_7b,
  author = {yusufads},
  title = {Yusufgeo 7b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/yusufads/YusufGEO-7B}},
  note = {Accessed via Free2AITools.}
}
APA Style
yusufads. (2026). Yusufgeo 7b [Model]. Free2AITools. https://huggingface.co/yusufads/YusufGEO-7B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run yusufgeo-7b
πŸ€— HF Download
huggingface-cli download yusufads/yusufgeo-7b
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 0
Recency (R) 70
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Yusufgeo 7b: Authority (A:29), Popularity (P:0), Recency (R:70), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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.
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--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

βš™οΈ Technical Specs

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

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.