Closed-weight models from United States of America in 2018
11
Models
7 organisations
0%
Open weights
0 open, 11 closed
0
Frontier
By Epoch's flag
5B
Largest traceable
Mesh-TensorFlow Transformer 4.9B (language)
2018
Span
5 with a traceable size
Releases
by monthOrganisation
Records
11| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| SPN (ImageNet 128) | Google Brain | 2018-12 | 250M | Closed |
| Mesh-TensorFlow Transformer 2.9B (translation) | Google Brain | 2018-11 | 3B * | Closed |
| Mesh-TensorFlow Transformer 4.9B (language) | Google Brain | 2018-11 | 5B | Closed |
| TrellisNet | Carnegie Mellon University (CMU) | 2018-10 | 180M | Closed |
| Transformer + Simple Recurrent Unit | ASAPP | 2018-09 | 90M | Closed |
| AWD-LSTM-MoS+PDR + dynamic evaluation (WT2) | IBM | 2018-08 | 35M | Closed |
| Dropout-LSTM+Noise(Bernoulli) (WT2) | Columbia University | 2018-05 | 51M * | Closed |
| YOLOv3 | University of Washington | 2018-04 | 57M * | Closed |
| 4 layer QRNN (h=2500) | Salesforce Research | 2018-03 | 151M * | Closed |
| QRNN | Salesforce Research | 2018-02 | 135M * | Closed |
| T-DMCA | Google Brain | 2018-01 | — | 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.