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Noor 10B

10B-parameter Arabic NLP model trained on 30 billion curated Arabic words.

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About

Noor 10B was the world's largest Arabic natural language processing model at its launch in April 2022, developed by Abu Dhabi's Technology Innovation Institute with LightOn. The decoder-only Transformer, similar in structure to GPT-3, was trained on a purpose-built corpus of more than 30 billion Arabic words spanning web data, books, poetry, news articles and technical information.\n\nTraining ran on 128 A100 GPUs with state-of-the-art 3D parallelism, and the project pioneered ML-based data filtering pipelines for Arabic at scale. Noor was aimed at academicians and businesses as a go-to exploration model for generative Arabic tasks.\n\nNoor is primarily a historical milestone in sovereign-language AI rather than a currently maintained open model; weight availability has been research-oriented rather than broadly public, so treat it as a reference entry for Arabic LLM history.

Specs

Context window

Pricing

Free quota

API access

Weights

Closed — API only

Released

April 11, 2022

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

arabic-nlptext-generationregional-modelsresearch

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 121; Trending score 60/100 from researcher assessment.

Sources