🧠
Geoai Outdoor Assistant model by Som Doe2007
⭐ 47.1
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Model

Geoai Outdoor Assistant

by Som Doe2007 som-doe2007/geoai-outdoor-assistant
Free2AITools Nexus Index
47.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 0
R: Recency 100
Q: Quality 50
Tech Context
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 47.1 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID som-doe2007/geoai-outdoor-assistant
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{som_doe2007_geoai_outdoor_assistant,
  author = {Som Doe2007},
  title = {Geoai Outdoor Assistant Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/som-doe2007/geoai-outdoor-assistant}},
  note = {Accessed via Free2AITools.}
}
APA Style
Som Doe2007. (2026). Geoai Outdoor Assistant [Model]. Free2AITools. https://huggingface.co/som-doe2007/geoai-outdoor-assistant

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download som-doe2007/geoai-outdoor-assistant

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 0
Recency (R) 100
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Geoai Outdoor Assistant: Authority (A:39), Popularity (P:0), Recency (R:100), Quality (Q:50). 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
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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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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€— 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--som-doe2007--geoai-outdoor-assistant
slug
som-doe2007--geoai-outdoor-assistant
source
huggingface
author
Som Doe2007
license
Apache-2.0
tags
gguf, qwen3, text-generation, geoai, outdoor-activity-planning, small-language-model, hackathon, quantized, llama.cpp, license:apache-2.0, endpoints_compatible, region:us, imatrix, conversational

βš™οΈ Technical Specs

pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.