Open-weight biology models in 2022
9
Models
8 organisations
100%
Open weights
9 open, 0 closed
0
Frontier
By Epoch's flag
25B
Largest traceable
GenSLM
2022
Span
7 with a traceable size
Releases
by monthOrganisation
Records
9| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| DiffDock | Massachusetts Institute of Technology (MIT) | 2022-10 | 20M * | Open |
| GenSLM | University of Chicago | 2022-10 | 25B | Open |
| ESM2-15B | Meta AI | 2022-07 | 15B | Open |
| ProGen2-xlarge | Salesforce Research | 2022-06 | 6B | Open |
| Tranception | University of Oxford | 2022-05 | 700M | Open |
| BERT-RBP | Waseda University | 2022-04 | 110M | Open |
| ProteinBERT | Hebrew University of Jerusalem | 2022-02 | 16M | Open |
| AbLang (heavy sequences) | University of Oxford | 2022-01 | 355M | Open |
| OntoProtein | Zhejiang University (ZJU) | 2022-01 | 420M * | 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.