The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Models from United States of America in 2017

Weightsopenclosedunknownfrontier only
Year20262025202420232022202120202019201820172016
2 filters active, showing 23 of 1,072 recordsClear all

23

Models

15 organisations

0%

Open weights

0 open, 8 closed

2

Frontier

By Epoch's flag

213M

Largest traceable

Transformer

2017

Span

6 with a traceable size

Releases

by month
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Organisation

Country

Domain

Records

23
Models from United States of America in 2017, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
AWD-LSTM-MoS + dynamic evaluation (WT2, 2017)Carnegie Mellon University (CMU)2017-1135M *Closed
DCN+Salesforce Research2017-10—Closed
PhraseCondCarnegie Mellon University (CMU)2017-10—Not recorded
ProgressiveGANNVIDIA2017-10—Not recorded
S-NormUniversity of Washington2017-10—Not recorded
ISSDuke University2017-0911MClosed
AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)Salesforce Research2017-0833MClosed
LibratusCarnegie Mellon University (CMU)2017-08—Closed
OpenAI TI7 DOTA 1v1OpenAI2017-08—Not recorded
RetinaNet-R101Facebook AI Research2017-0853MNot recorded
RetinaNet-R50Facebook AI Research2017-0834M *Not recorded
ConvS2S (ensemble of 8 models)Meta AI2017-07—Not recorded
JFTGoogle Research2017-0745MNot recorded
NASNet-AGoogle Brain2017-0789M *Not recorded
DeepLabV3Google2017-06—Not recorded
PointNet++Stanford University2017-06—Not recorded
TransformerGoogle Research2017-06213MClosed
SRGANTwitter2017-05—Closed
DeepLab (2017)Johns Hopkins University2017-04—Not recorded
MobileNetGoogle2017-044M *Not recorded
Mask R-CNNFacebook AI Research2017-03—Not recorded
WGAN-GPCourant Institute of Mathematical Sciences2017-03—Closed
OR-WideResNetDuke University2017-0118MNot 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.

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