GEITje 7B Ultra: A Conversational Model for Dutch
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Abstract (arXiv)
Language models have rapidly evolved, predominantly focusing on English while often neglecting extensive pretraining in other languages. This approach has required initiatives to adapt powerful, English-centric models to other linguistic contexts through finetuning. For Dutch, such a recent endeavour is ``GEITje'' a model originally derived from the English-based Mistral 7B. Building on this fundamental work, the current research extends the capabilities of GEITje by supervised finetuning on newly created high-quality synthetic conversational datasets, along with an additional preference alignment procedure on a synthetic feedback dataset. Both the developed models and the created datasets are openly available.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 21 references that are in the map. First posted on arXiv 5 Dec 2024.
Builds on
9 of 21 references.
References · 9
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2017Proximal Policy Optimization Algorithmscited by 14,441
- 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 7,916
- 2023Mistral 7Bcited by 3,065
- 2023Zephyr: Direct Distillation of LM Alignmentcited by 498
- 2023UltraFeedback: Boosting Language Models with Scaled AI Feedbackcited by 394
- 2024Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Taskscited by 33
- 2023ScandEval: A Benchmark for Scandinavian Natural Language Processingcited by 16
- 2023Language Resources for Dutch Large Language Modellingcited by 11
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Citing papers per year: 2025: 1; 2026: 3.
4 papers.
- 2026Racka: Efficient Hungarian LLM Adaptation on Academic Infrastructurecited by 1
- 2025LLMs vs. Traditional Sentiment Tools in Psychology: An Evaluation on Belgian-Dutch Narrativescited by 0
- 2026When Context Misleads: Surprisal, Energy and Attention Entropy as Metrics of Coherence Illusions in LLMscited by 0
- 2026From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutchcited by 0
- 2026From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch10 Aug 2026
- 2026When Context Misleads: Surprisal, Energy and Attention Entropy as Metrics of Coherence Illusions in LLMs19 Jun 2026
- 2026Racka: Efficient Hungarian LLM Adaptation on Academic Infrastructure3 Jan 2026
- 2025LLMs vs. Traditional Sentiment Tools in Psychology: An Evaluation on Belgian-Dutch Narratives10 Nov 2025