Evidence-backed European AI register
KU Leuven & Ghent University language technology (Tweety / LT3)
Reviewed identity, roles, model listings, pricing and evidence for KU Leuven & Ghent University language technology (Tweety / LT3).
Dataset compiled 2026-08-28 · evidence over inference
Reviewed identity
- Headquarters scope
- headquarters unknown
- Headquarters country
- unknown
- Headquarters city
- unknown
- Legal entity
- university research groups (KU Leuven; Ghent University LT3, directed by Véronique Hoste)
- Ownership
- public research (universities)
- Founded
- unknown
- Confidence
- medium
- Last verified
- 2026-08-22
Headquarters evidence
No qualifying headquarters passage was promoted.
This is a university research grouping spanning Leuven and Ghent; no single headquarters statement was found.
Evidence boundaries
Organisation listings identify a reviewed canonical record. Headquarters is independent of incorporation, registered offices, ownership, hosting and runtime. Model listings show an association in the source register; they do not by themselves establish model creation, current API availability, hosting location or infrastructure ownership.
Model listings
- Type
- text
- Parameters
- 7B
- Context
- unknown
- Languages
- Dutch
- Licence
- Apache-2.0
- Release
- 2024
Profile note
The Flemish academic side of Dutch-language LLM work. Tweety-7b-dutch is an Apache-2.0 Dutch foundation model funded by KU Leuven BOF, VSC and the Flanders AI programme — notable because it is permissively licensed where GPT-NL's weights are under a controlled licence. Ghent's LT3 group (Véronique Hoste) has proposed a comprehensive Flemish benchmark dataset through the Flanders AI programme, covering regional written and spoken variation — a benchmark gap that matters because Flemish Dutch is underrepresented in Netherlands-built models.