Unrecorded-weight models from Stanford University
14
Models
1 organisations
—
Open weights
0 open, 0 closed
1
Frontier
By Epoch's flag
100M
Largest traceable
GPU DBNs
1960–2017
Span
4 with a traceable size
Organisation
Country
Records
14| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| PointNet++ | Stanford University | 2017-06 | — | Not recorded |
| PointNet | Stanford University | 2016-12 | — | Not recorded |
| Fragment embedding | Stanford University | 2014-06 | 144M * | Not recorded |
| GloVe (32B) | Stanford University | 2014-01 | 120M * | Not recorded |
| GloVe (6B) | Stanford University | 2014-01 | 120M * | Not recorded |
| Recursive Neural Network | Stanford University | 2011-06 | — | Not recorded |
| Vector Space Model | Stanford University | 2011-06 | 255,000 | Not recorded |
| GPU DBNs | Stanford University | 2009-06 | 100M | Not recorded |
| LDA | Stanford University | 2003-02 | — | Not recorded |
| Gradient Boosting Machine | Stanford University | 2001-10 | — | Not recorded |
| ISR network | Stanford University | 1990-10 | — | Not recorded |
| Truck backer-upper | Stanford University | 1989-06 | 805 | Not recorded |
| MADALINE I | Stanford University | 1962-07 | — | Not recorded |
| ADALINE | Stanford University | 1960-06 | 17 | 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.