Models in 2012
13
Models
6 organisations
0%
Open weights
0 open, 6 closed
4
Frontier
By Epoch's flag
60M
Largest traceable
AlexNet
2012
Span
3 with a traceable size
Releases
by monthRecords
13| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| Bayesian automated hyperparameter tuning | University of Toronto | 2012-12 | — | Not recorded |
| DistBelief Speech | 2012-12 | 47M * | Not recorded | |
| DistBelief Vision | 2012-12 | 2B * | Not recorded | |
| DNN EM segmentation | IDSIA | 2012-12 | 218,896 | Closed |
| RNN+LDA+KN5+cache | Microsoft | 2012-12 | 9M * | Closed |
| AlexNet | University of Toronto | 2012-09 | 60M | Not recorded |
| LSTM LM | RWTH Aachen University | 2012-09 | 103M * | Not recorded |
| Context-dependent RNN | Microsoft Research | 2012-07 | — | Not recorded |
| Unsupervised High-level Feature Learner | 2012-07 | 1B * | Not recorded | |
| Dropout (CIFAR) | University of Toronto | 2012-06 | — | Closed |
| Dropout (ImageNet) | University of Toronto | 2012-06 | — | Closed |
| Dropout (MNIST) | University of Toronto | 2012-06 | 6M | Closed |
| Dropout (TIMIT) | University of Toronto | 2012-06 | 49M * | Closed |
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.