🧠

Model

Eatsplorer

Name: Eatsplorer
Author: Ehemjayy

by Ehemjayy ehemjayy/eatsplorer

Free2AITools Nexus Index

38.8

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 8

R: Recency 74

Q: Quality 65

Tech Context

0.18B Params

512 Ctx

Vital Performance

89 DL / 30D

Source →

Technical Constraints

Experimental / High Latency

Low FNI signal 38.8 FNI Score

Tiny 0.18B Params

1k Context

89 Downloads

8G GPU ~2GB Est. VRAM

Dense DEBERTAV2FORSEQUENCECLASSIFICATION Architecture

Model Information Summary
Entity Passport
Registry ID	ehemjayy/eatsplorer
Provider	huggingface

💾

Compute Threshold

~1.4GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{ehemjayy_eatsplorer,
  author = {Ehemjayy},
  title = {Eatsplorer Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Ehemjayy/Eatsplorer}},
  note = {Accessed via Free2AITools.}
}

APA Style

Ehemjayy. (2026). Eatsplorer [Model]. Free2AITools. https://huggingface.co/Ehemjayy/Eatsplorer

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run eatsplorer

🤗 HF Download

huggingface-cli download ehemjayy/eatsplorer

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 8

Recency (R) 74

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Eatsplorer: Authority (A:0), Popularity (P:8), Recency (R:74), 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

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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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📝 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.