Unrecorded-weight models from Facebook AI Research
4
Models
1 organisations
—
Open weights
0 open, 0 closed
0
Frontier
By Epoch's flag
53M
Largest traceable
RetinaNet-R101
2016–2017
Span
1 with a traceable size
Organisation
Country
Records
4| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| RetinaNet-R101 | Facebook AI Research | 2017-08 | 53M | Not recorded |
| RetinaNet-R50 | Facebook AI Research | 2017-08 | 34M * | Not recorded |
| Mask R-CNN | Facebook AI Research | 2017-03 | — | Not recorded |
| Character-enriched word2vec | Facebook AI Research | 2016-07 | — | 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.