Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs
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Abstract (arXiv)
We present two multilingual LLMs, Teuken 7B-base and Teuken 7B-instruct, designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European Union. Trained on a dataset comprising around 60% non-English data and utilizing a custom multilingual tokenizer, our models address the limitations of existing LLMs that predominantly focus on English or a few high-resource languages. We detail the models' development principles, i.e., data composition, tokenizer optimization, and training methodologies. The models demonstrate strong performance across multilingual benchmarks, as evidenced by their performance on European versions of ARC, HellaSwag, and TruthfulQA.
Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). Builds on 51 of its 78 references that are in the map. First posted on arXiv 30 Sep 2024.
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- 2026TildeOpen LLM: Leveraging Curriculum Learning to Achieve Equitable Language Representationcited by 2
- 2025Are Multilingual Language Models an Off-ramp for Under-resourced Languages? Will we arrive at Digital Language Equality in Europe in 2030?cited by 1
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12 most cited of 17 All 17 (JSON)
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- 2026Apples to Apples? Towards Comparable Crosslingual Language Model Evaluation25 Aug 2026
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