The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Other models

Weightsopenclosedunknownfrontier only
Year20262025202420232022202120202019201820172016
1 filter active, showing 17 of 1,072 recordsClear all

17

Models

12 organisations

50%

Open weights

1 open, 1 closed

2

Frontier

By Epoch's flag

100M

Largest traceable

GPU DBNs

1955–2022

Span

6 with a traceable size

Releases

by year, from 2007
2007200820092010201120122013201420152016201720182019202020212022

Organisation

Country

Domain

Records

17
Other models, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
AlphaTensorDeepMind2022-10—Closed
Bayesian automated hyperparameter tuningUniversity of Toronto2012-12—Not recorded
Stacked Denoising AutoencodersUniversity of Montreal / Université de Montréal2010-01—Not recorded
GPU DBNsStanford University2009-06100MNot recorded
GNNUniversity of Siena2008-1230Open
Denoising AutoencodersUniversity of Montreal / Université de Montréal2008-07—Not recorded
Greedy layer-wise DNN trainingUniversity of Montreal / Université de Montréal2006-12—Not recorded
RAAM1990-111,536Not recorded
Bankruptcy-NN1990-0636Not recorded
Distributed representation NNCarnegie Mellon University (CMU)1986-08432Not recorded
Error PropagationUniversity of California San Diego1986-01—Not recorded
Hierarchical CognitronNHK Broadcasting Science Research Laboratories1984-049,315 *Not recorded
Hopfield networkCalifornia Institute of Technology1982-049,900 *Not recorded
CognitronBiological Cybernetics1975-0921,600Not recorded
MADALINE IStanford University1962-07—Not recorded
Perceptron Mark ICornell Aeronautical Laboratory1957-011,000 *Not recorded
Self Organizing SystemMassachusetts Institute of Technology (MIT)1955-03225 *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.

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