• eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
• open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.

Arabic-centric open weights fill a real gap for teams serving non-English users where frontier models are weaker or unavailable. The training report also documents choices that transfer to other language-specific model efforts.

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• articleDenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code SearchRapha\"el Sourty, Antoine Chaffin, Paulo Roberto Moura Junior, Am\'elie Chatelain
• articleQwen2.5-LLM: Extending the boundary of LLMsQwen Team

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