The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Open-weight biology models

29

Models

24 organisations

100%

Open weights

29 open, 0 closed

0

Frontier

By Epoch's flag

25B

Largest traceable

GenSLM

2016–2024

Span

14 with a traceable size

Records

29
Open-weight biology models, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
CHAI-1Chai discovery2024-10Open
AlphaFold 3Google DeepMind2024-05Open
RoseTTAFold All-Atom (RFAA)University of Washington2023-10Open
PeptideBERTCarnegie Mellon University (CMU)2023-08Open
HyenaDNAStanford University2023-067MOpen
ProteinDTUniversity of California (UC) Berkeley2023-02Open
Ankh_largeTechnical University of Munich2023-012BOpen
Nucleotide TransformerNVIDIA2023-013B *Open
DiffDockMassachusetts Institute of Technology (MIT)2022-1020M *Open
GenSLMUniversity of Chicago2022-1025BOpen
ESM2-15BMeta AI2022-0715BOpen
ProGen2-xlargeSalesforce Research2022-066BOpen
TranceptionUniversity of Oxford2022-05700MOpen
BERT-RBPWaseda University2022-04110MOpen
ProteinBERTHebrew University of Jerusalem2022-0216MOpen
AbLang (heavy sequences)University of Oxford2022-01355MOpen
OntoProteinZhejiang University (ZJU)2022-01420M *Open
AlphaFold-MultimerGoogle DeepMind2021-10Open
DNABERTNortheastern University2021-08110MOpen
ProtBERT-BFDTechnical University of Munich2021-05420MOpen
ProtT5-XL-U50Technical University of Munich2021-053BOpen
MSA TransformerFacebook AI Research2021-02100M *Open
ESM1bFacebook AI Research2020-12652MOpen
AlphaFold 2DeepMind2020-1193M *Open
ProBERTaUniversity of Illinois Urbana-Champaign (UIUC)2020-0944MOpen
Hopfield Networks (2020)Johannes Kepler University Linz2020-07Open
UDSMProtFraunhofer Heinrich Hertz Institute2019-0928M *Open
trRosettaNankai University2019-08Open
SPIDER2Griffith University2016-10409,536 *Open

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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