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title: README
emoji: ⛰️
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colorTo: red
sdk: static
pinned: false
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QIMMA ⛰️ — A quality-first Arabic LLM Leaderboard that evaluates and compares the performance of Arabic Large Language Models.
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## About

QIMMA قمّة (Summit in Arabic) is a quality-assured Arabic LLM evaluation leaderboard built on 14 carefully chosen benchmarks spanning STEM, legal reasoning, medical knowledge, poetry, cultural understanding, and code generation. QIMMA includes over 52,000 quality-validated samples across multiple-choice, generative, and code evaluation tracks. Over 99% of QIMMA's content is native Arabic, ensuring authentic linguistic and cultural assessment rather than relying on translated materials. 
The leaderboard is powered by a fully automated GPU evaluation pipeline, generously supported by **[TII (Technology Innovation Institute)](https://www.tii.ae)**, running on H100 infrastructure. Every submitted model goes through the same pipeline under the same conditions.

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## Submit Your Model

Submissions are open to everyone. To submit a model through the leaderboard space [QIMMA leaderboard](https://huggingface.co/spaces/qimma/leaderboard).
Set `model type` to `base` for base models or `instruct` for chat/instruction-tuned models.

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## Evaluation Queue & Delays

We run a shared GPU evaluation queue. Jobs are picked up automatically every few minutes, but **evaluation times vary** depending on model size and current queue load — please expect delays of several hours during busy periods.
You can track your submission status at any time by checking the `status` field in the [leaderboard-requests](https://huggingface.co/datasets/qimma/leaderboard-requests) dataset:

| Status | Meaning |
|--------|---------|
| `submitted` | Request received, waiting to be picked up |
| `pending` | Job dispatched, queued on GPU cluster |
| `running` | Evaluation actively in progress |
| `finished` | Results published to the leaderboard |
| `failed` | Something went wrong |

If your submission has been stuck for more than 24 hours or you have any questions, open a thread in the **[Discussion tab](https://huggingface.co/spaces/qimma/leaderboard/discussions)** and we'll look into it.

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