Unrecorded-weight models from Germany
7
Models
6 organisations
—
Open weights
0 open, 0 closed
4
Frontier
By Epoch's flag
14M
Largest traceable
LCNP LabelMe
1994–2017
Span
3 with a traceable size
Organisation
Records
7| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| TriNet | Visual Computing Institute | 2017-11 | — | Not recorded |
| RNNsearch-50* | Jacobs University Bremen | 2014-09 | — | Not recorded |
| LSTM LM | RWTH Aachen University | 2012-09 | 103M * | Not recorded |
| LCNP LabelMe | University of Bonn | 2009-11 | 14M | Not recorded |
| Sparse digit recognition SVM | University of Lubeck | 2008-11 | — | Not recorded |
| LSTM | Technical University of Munich | 1997-11 | 10,504 | Not recorded |
| Predictive Coding NN | Technical University of Munich | 1994-12 | 206,910 | Not recorded |
An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.
Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.
Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.