README.md

---
title: Arabic LLM Leaderboard
emoji: 🏆
colorFrom: green
colorTo: yellow
sdk: docker
app_port: 7860
pinned: true
license: apache-2.0
short_description: Benchmarking LLMs on Modern Standard Arabic
hf_oauth: true
hf_oauth_expiration_minutes: 480
tags:
- leaderboard
- arabic
- llm
- evaluation
---

# Arabic LLM Leaderboard

A single-page leaderboard for Arabic (Modern Standard Arabic) LLMs. It reads results
live (client-side) from the **[Mushari440/results](https://huggingface.co/datasets/Mushari440/results)**
dataset and the evaluation queue from **[Mushari440/requests](https://huggingface.co/datasets/Mushari440/requests)**.

Each model is scored on 13 capability & domain dimensions; the headline **Average** is the
**item-weighted** mean (every one of the 29,417 benchmark items counts equally).

The page is a single self-contained `index.html` (vanilla JS) served by a small FastAPI app.
Anyone can **submit their own model**: sign in with your Hugging Face account, fill the form, and
the app validates the model on the Hub and enqueues it (`PENDING`) into `Mushari440/requests`. The
write is done with the Space's own token (a private Space secret) — your token is never used to
write and never leaves your browser; sign-in only records your username on the request.