The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Models from Stanford University

Weightsopenclosedunknownfrontier only
Year20262025202420232022202120202019201820172016
2 filters active, showing 26 of 1,072 recordsClear all

26

Models

1 organisations

58%

Open weights

7 open, 5 closed

1

Frontier

By Epoch's flag

7B

Largest traceable

OpenVLA

1960–2024

Span

10 with a traceable size

Releases

by year, from 2009
2009201020112012201320142015201620172018201920202021202220232024

Organisation

Country

Domain

Records

26
Models from Stanford University, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
OpenVLAStanford University2024-067BOpen
W.A.L.TStanford University2023-125BClosed
CTM (CIFAR-10)Stanford University2023-10—Open
GPT3-2.7B (FlashAttention-2)Stanford University2023-073BClosed
HyenaDNAStanford University2023-067MOpen
DPO on Pythia-2.8BStanford University2023-053BClosed
Hybrid H3-2.7BStanford University2022-123B *Open
GPT-2 Medium (FlashAttention)Stanford University2022-05355MOpen
S4Stanford University2021-10249M *Open
ELECTRAStanford University2020-03335M *Open
Base LM + kNN LM + Continuous CacheStanford University2019-11247M *Closed
PointNet++Stanford University2017-06—Not recorded
PointNetStanford University2016-12—Not recorded
Fragment embeddingStanford University2014-06144M *Not recorded
GloVe (32B)Stanford University2014-01120M *Not recorded
GloVe (6B)Stanford University2014-01120M *Not recorded
RNTNStanford University2013-10—Closed
Recursive Neural NetworkStanford University2011-06—Not recorded
Vector Space ModelStanford University2011-06255,000Not recorded
GPU DBNsStanford University2009-06100MNot recorded
LDAStanford University2003-02—Not recorded
Gradient Boosting MachineStanford University2001-10—Not recorded
ISR networkStanford University1990-10—Not recorded
Truck backer-upperStanford University1989-06805Not recorded
MADALINE IStanford University1962-07—Not recorded
ADALINEStanford University1960-0617Not 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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