Models from University of Washington
13
Models
1 organisations
56%
Open weights
5 open, 4 closed
0
Frontier
By Epoch's flag
2B
Largest traceable
ViT-G (model soup)
1989–2023
Span
4 with a traceable size
Organisation
Country
Records
13| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| RoseTTAFold All-Atom (RFAA) | University of Washington | 2023-10 | — | Open |
| ViT-G (model soup) | University of Washington | 2022-03 | 2B | Open |
| DLWP | University of Washington | 2021-02 | 3M | Closed |
| LUKE | University of Washington | 2020-10 | 483M * | Open |
| DeLighT | University of Washington | 2020-08 | 99M * | Closed |
| Transformer-XL DeFINE (141M) | University of Washington | 2019-11 | 141M * | Closed |
| YOLOv3 | University of Washington | 2018-04 | 57M * | Closed |
| ELMo | University of Washington | 2018-02 | 94M * | Not recorded |
| S-Norm | University of Washington | 2017-10 | — | Not recorded |
| YOLOv2 | University of Washington | 2016-12 | 51M * | Open |
| BIDAF | University of Washington | 2016-11 | 3M | Open |
| YOLO | University of Washington | 2015-06 | 272M * | Not recorded |
| Speaker-independent vowel classification | University of Washington | 1989-11 | 3,040 | 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.