Evidence-backed European AI register
Helmholtz Munich
Reviewed identity, roles, model listings, pricing and evidence for Helmholtz Munich.
Dataset compiled 2026-08-27 · evidence over inference
Reviewed identity
- Headquarters scope
- EU headquarters
- Headquarters record
- Neuherberg / Munich
- Legal entity
- GmbH — member of the Helmholtz Association of German Research Centres
- Ownership
- public research (90% German federal government, 10% Free State of Bavaria)
- Founded
- 1960
- Confidence
- medium
- Last verified
- 2026-08-22
Evidence boundaries
Organisation listings identify a reviewed canonical record. 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
- 70B (LoRA fine-tune of Llama 3.1 70B)
- Context
- unknown
- Languages
- English — human cognition/behaviour prediction
- Licence
- Llama 3.1 Community Licence (per base model)
- Release
- 2025-07
- Psych-101 dataset
- Type
- text
- Parameters
- unknown
- Context
- unknown
- Languages
- English
- Licence
- open (research)
- Release
- 2025
- Single-cell and biomedical foundation models (Helmholtz Munich Computational Health Center — e.g. scGPT-class and multimodal omics models)
- Type
- multimodal
- Parameters
- unknown
- Context
- unknown
- Languages
- n/a — biological sequence and single-cell data
- Licence
- varies by repo (mostly permissive research licences)
- Release
- unknown
Profile note
A German public research centre that produced one of the most-cited foundation models of 2025: Centaur, a Nature-published model of human cognition trained on 10M+ human decisions, which is a genuinely novel model category rather than another chat LLM. Also a significant producer of biomedical/single-cell foundation models. Fully open, no commercial arm, no pricing.
Record sources
- https://www.helmholtz-munich.de/en/newsroom/news-all/artikel/ai-that-thinks-like-us-and-could-help-explain-ho…
- https://www.helmholtz-munich.de/en/newsroom/discover-our-topics/foundation-models
- https://www.nature.com/articles/s41586-025-09215-4.pdf
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12390832/
- https://arxiv.org/html/2410.20268v3
- https://www.helmholtz-munich.de/en/about-us