Open-weight biology models from United States of America
16
Models
14 organisations
100%
Open weights
16 open, 0 closed
0
Frontier
By Epoch's flag
25B
Largest traceable
GenSLM
2020–2024
Span
7 with a traceable size
Organisation
Records
16| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| CHAI-1 | Chai discovery | 2024-10 | — | Open |
| AlphaFold 3 | Google DeepMind | 2024-05 | — | Open |
| RoseTTAFold All-Atom (RFAA) | University of Washington | 2023-10 | — | Open |
| PeptideBERT | Carnegie Mellon University (CMU) | 2023-08 | — | Open |
| HyenaDNA | Stanford University | 2023-06 | 7M | Open |
| ProteinDT | University of California (UC) Berkeley | 2023-02 | — | Open |
| Nucleotide Transformer | NVIDIA | 2023-01 | 3B * | Open |
| 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 |
| AlphaFold-Multimer | Google DeepMind | 2021-10 | — | Open |
| DNABERT | Northeastern University | 2021-08 | 110M | Open |
| MSA Transformer | Facebook AI Research | 2021-02 | 100M * | Open |
| ESM1b | Facebook AI Research | 2020-12 | 652M | Open |
| ProBERTa | University of Illinois Urbana-Champaign (UIUC) | 2020-09 | 44M | 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.