Models from University of Oxford
12
Models
1 organisations
50%
Open weights
4 open, 4 closed
2
Frontier
By Epoch's flag
700M
Largest traceable
Tranception
2013–2022
Span
4 with a traceable size
Organisation
Country
Records
12| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| CaLM | University of Oxford | 2022-12 | 86M * | Closed |
| TranceptEve | University of Oxford | 2022-12 | — | Closed |
| Tranception | University of Oxford | 2022-05 | 700M | Open |
| AbLang (heavy sequences) | University of Oxford | 2022-01 | 355M | Open |
| Photo-Geometric Autoencoder | University of Oxford | 2019-11 | — | Open |
| DLDL (PASCAL) | University of Oxford | 2016-11 | 564M * | Open |
| Template Adaptation | University of Oxford | 2016-03 | 138M * | Closed |
| VGG-Face | University of Oxford | 2015-01 | 138M | Closed |
| VGG16 | University of Oxford | 2014-09 | 138M | Not recorded |
| VGG19 | University of Oxford | 2014-09 | 144M * | Not recorded |
| Two-stream ConvNets for action recognition | University of Oxford | 2014-06 | — | Not recorded |
| RCTM | University of Oxford | 2013-10 | — | 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.