🧠
Readme Ai model by eli64s
⭐ 48.8
🧠
Model

Readme Ai

by eli64s eli64s/readme-ai
Free2AITools Nexus Index
48.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 59
P: Popularity 63
R: Recency 76
Q: Quality 70
Tech Context
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 48.8 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID eli64s/readme-ai
License MIT
Provider github
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eli64s_readme_ai,
  author = {eli64s},
  title = {Readme Ai Model},
  year = {2023},
  howpublished = {\url{https://github.com/eli64s/readme-ai}},
  note = {Accessed via Free2AITools.}
}
APA Style
eli64s. (2023). Readme Ai [Model]. Free2AITools. https://github.com/eli64s/readme-ai

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ Git Clone
git clone https://github.com/eli64s/readme-ai

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 59
Popularity (P) 63
Recency (R) 76
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for Readme Ai: Authority (A:59), Popularity (P:63), Recency (R:76), Quality (Q:70). 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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πŸš€ What's Next?

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Deployment reference

Understand deployment options

Technical Deep Dive

Designed for simplicity, customization, and developer productivity.

Github Actions Test Coverage PyPI Version Total Downloads MIT License

<img src="https://raw.githubusercontent.com/eli64s/readme-ai/eb2a0b4778c633911303f3c00f87874f398b5180/docs/docs/ass

⚠️ 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.

Social Proof

GitHub Repository
2.9KStars
284Forks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub 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
gh-model--eli64s--readme-ai
slug
eli64s--readme-ai
source
github
author
eli64s
license
MIT
tags
readme-generator, readme, readme-md-generator, ai, markdown, documentation, developer-tools, documentation-generator, python, markdown-generator, devtools, readme-template, badge-generator, ai-documentation, anthropic, cli, gemini, gpt, agents, ai-agents

βš™οΈ Technical Specs

pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
0
stars
2,894
forks
284

Data indexed from public sources. Updated daily.