Closed-weight models from United States of America in 2016
11
Models
10 organisations
0%
Open weights
0 open, 11 closed
1
Frontier
By Epoch's flag
54M
Largest traceable
NAS with base 8 and shared embeddings
2016
Span
6 with a traceable size
Releases
by monthOrganisation
Records
11| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| GAN-Advancer | OpenAI | 2016-12 | — | Closed |
| DTN (Domain Transfer Network) | Facebook AI Research | 2016-11 | — | Closed |
| NAS with base 8 and shared embeddings | Google Brain | 2016-11 | 54M | Closed |
| VD-LSTM+REAL Large | Salesforce Research | 2016-11 | 51M | Closed |
| GAWWN | University of Michigan | 2016-10 | — | Closed |
| GNMT | 2016-09 | 278M * | Closed | |
| LF-MMI | Johns Hopkins University | 2016-09 | 17M | Closed |
| MS-ensemble-speech-recognition | Microsoft | 2016-09 | 3B * | Closed |
| Pointer Sentinel-LSTM (medium) | MetaMind Inc | 2016-09 | 21M | Closed |
| Dueling DQN | Google DeepMind | 2016-04 | 2M | Closed |
| Double DQN | Google DeepMind | 2016-03 | 2M | 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.