Models from Switzerland
11
Models
4 organisations
13%
Open weights
1 open, 7 closed
2
Frontier
By Epoch's flag
218,896
Largest traceable
DNN EM segmentation
1999–2023
Span
1 with a traceable size
Organisation
Records
11| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| DiT-XL/2 + CADS | ETH Zurich | 2023-10 | 675M * | Closed |
| PG-SWGAN | ETH Zurich | 2019-06 | — | Closed |
| AWD-LSTM-DRILL + dynamic evaluation† (WT2) | IDIAP | 2019-05 | 34M * | Open |
| DNN EM segmentation | IDSIA | 2012-12 | 218,896 | Closed |
| CNN committee (traffic sign) | IDSIA | 2011-10 | 1M * | Closed |
| CNN Committee (MNIST) | IDSIA | 2011-09 | 120,620 * | Closed |
| CNN Committee (NIST) | IDSIA | 2011-09 | 128,420 * | Closed |
| High Performance CNN (NORB) | IDSIA | 2011-07 | 5M * | Closed |
| BLSTM for handwriting (2) | University of Bern | 2007-12 | 100,881 * | Not recorded |
| BLSTM for handwriting (1) | University of Bern | 2007-09 | — | Not recorded |
| LSTM with forget gates | IDSIA | 1999-01 | 276 * | 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.