Biology models in 2023
10
Models
10 organisations
60%
Open weights
6 open, 4 closed
0
Frontier
By Epoch's flag
100B
Largest traceable
xTrimoPGLM -100B
2023
Span
4 with a traceable size
Releases
by monthOrganisation
Records
10| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| RoseTTAFold All-Atom (RFAA) | University of Washington | 2023-10 | — | Open |
| AlphaMissense | Google DeepMind | 2023-09 | 93M * | Closed |
| GGNN | Westlake University | 2023-08 | — | Closed |
| PeptideBERT | Carnegie Mellon University (CMU) | 2023-08 | — | Open |
| xTrimoPGLM -100B | Tsinghua University | 2023-07 | 100B | Closed |
| HyenaDNA | Stanford University | 2023-06 | 7M | Open |
| LEP-AD | King Abdullah University of Science and Technology (KAUST) | 2023-03 | 3B | Closed |
| ProteinDT | University of California (UC) Berkeley | 2023-02 | — | Open |
| Ankh_large | Technical University of Munich | 2023-01 | 2B | Open |
| Nucleotide Transformer | NVIDIA | 2023-01 | 3B * | 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.