Unrecorded-weight vision models from United Kingdom
6
Models
4 organisations
—
Open weights
0 open, 0 closed
3
Frontier
By Epoch's flag
138M
Largest traceable
VGG16
2000–2016
Span
2 with a traceable size
Records
6| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| Elastic weight consolidation | DeepMind | 2016-12 | — | Not recorded |
| Fractional Max-Pooling | University of Warwick | 2014-12 | 27M * | Not recorded |
| Spatially-Sparse CNN | University of Warwick | 2014-09 | — | Not recorded |
| VGG16 | University of Oxford | 2014-09 | 138M | Not recorded |
| VGG19 | University of Oxford | 2014-09 | 144M * | Not recorded |
| PoE MNIST | University College London (UCL) | 2000-11 | 4M | 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.