COPA releases 9B Armenian model with full training data and recipe
Erik Arakelyan's team released a 9B-parameter base model, a 4.37M-document corpus and verified STEM data for Armenian developers.
By RuntimeWire Staff · Published
Primary source: Hugging Face Community
Why it matters
COPA is making Armenian AI infrastructure inspectable at the data, training and evaluation layers, giving developers a foundation they can audit instead of another opaque set of weights.
Erik Arakelyan and the eight-person COPA team released a 9-billion-parameter Armenian base model alongside the datasets, code and training recipe used to build it, according to the team's Hugging Face release article. The project includes Khatun Avetisyan, Meri Davtyan, Heghine Grigoryan, Nane Khachatryan, Hayk Shahsuvaryan, Henrik Sergoyan and Vahan Martirosyan. The package includes 4.37 million Armenian news documents and 372,907 translated math and science problems.…
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