Unrecorded-weight models in 2009
11
Models
6 organisations
—
Open weights
0 open, 0 closed
2
Frontier
By Epoch's flag
100M
Largest traceable
GPU DBNs
2009
Span
4 with a traceable size
Releases
by monthOrganisation
Records
11| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| LCNP LabelMe | University of Bonn | 2009-11 | 14M | Not recorded |
| LCNP MNIST | 2009-11 | 12M | Not recorded | |
| LCNP NORB | 2009-11 | 17M | Not recorded | |
| BellKor 2007 | AT&T | 2009-09 | — | Not recorded |
| BellKor 2008 | AT&T | 2009-08 | — | Not recorded |
| BellKor 2009 | AT&T | 2009-08 | — | Not recorded |
| BigChaos OptiBlend | AT&T | 2009-08 | — | Not recorded |
| MatrixFac for Recommenders | Yahoo Research | 2009-08 | — | Not recorded |
| Pragmatic Theory solution (Netflix 2009) | Pragmatic Theory Inc. | 2009-08 | — | Not recorded |
| GPU DBNs | Stanford University | 2009-06 | 100M | Not recorded |
| RBM Image Classifier | University of Toronto | 2009-04 | 80M * | 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.