GEITje 7B Ultra: A Conversational Model for Dutch
Abstract
The research enhances the GEITje model, derived from Mistral 7B, through supervised finetuning with synthetic conversational datasets and preference alignment to improve its capabilities in Dutch.
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.