including data, documentation, training and testing code, and evaluation metrics; including community involvement
under EU regulations, OpenEuroLLM will provide a series of transparent and performant LLMs
for European languages and other socially and economically interesting ones, preserving linguistic and cultural diversity
Updates
International Workshop on Open Source Sovereign Foundation Models.
Our colleague from the University of Oslo, Stephan Oepen, presented the OpenEuroLLM project goals and current status at the the 2nd International Workshop on Open Source Sovereign Foundation Models (OSFM), which brought together experts to discuss strategies for promoting AI innovation and digital sovereignty in Europe through open and transparent models.
Multilinguality in LLM Development and Evaluation.
Last February, in collaboration with with the Circle U Alliance and the Nordic Language Processing Laboratory, the first OpenEuroLLM Winter School took place in the Norwegian Mountains. The focus of this year was Multilinguality in LLM Development and Evaluation with speakers from world organisations, academia and industry.
Gothenburg Artificial Intelligence Alliance (GAIA) Conference
Jonas Lind, Head of Research for the NLU team at AI Sweden, partner in OpenEuroLLM, will present unpack the reality of R&D for the continental operation that our project represents.
Language Resources and Evaluation Conference (LREC)
OpenEuroLLM is giving full support to the LREC 2026 conference through a sponshorship, several presentations and a booth in the exhibitors hall for 3 days. We will be happy to talk to you during the main conference days in person!.
Develop strong multilingual foundation models for EU official languages and beyond.
Ensure easy and sustainable access to foundational models ready to be fine-tuned to a wide range of applications.
Extend the number of evaluation results in all EU official languages and beyond, including AI safety and alignment with the AI Act and European AI standards
Extend the number of available training datasets and benchmarks for these languages, and make them easily accessible.
Share transparently the tools, recipes and intermediate results of the training processes.
Share the dataset enrichment and anonymization pipelines to enable further data sourcing for future needs.
Create an active and engaged community of developers and stakeholders among the public and private sector.
Europe's leading AI companies and research institutions combine their forces and expertise to develop next-generation open-source language models in an unprecedented collaboration to advance European AI capabilities, the OpenEuroLLM project
