AI models
ProtT5-XL-U50
Training compute
1.9×10²² FLOP
Parameters
3B
Published
May 4, 2021
ProtT5-XL-U50 is an AI model developed by Technical University of Munich, Med AI Technology, NVIDIA, Oak Ridge National Laboratory, Google and Seoul National University (Germany, China, United States and South Korea), first published in May 2021. It works in the biology domain, on tasks such as proteins, protein or nucleotide language model (plm/nlm) and protein contact and distance prediction.
Training it took an estimated 1.9×10²² FLOP of compute (estimation method: operation counting). The model has 3,000,000,000 parameters. It was trained on roughly 19.6B datapoints.
Access: Open weights (non-commercial). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Technical University of Munich, Med AI Technology, NVIDIA, Oak Ridge National Laboratory, Google, Seoul National University
- Country of organization
- Germany, China, United States, South Korea
- Domain
- Biology
- Task
- Proteins, Protein or nucleotide language model (pLM/nLM), Protein contact and distance prediction
- Training compute
- 1.9×10²² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 3,000,000,000
- Dataset size
- 19.6B
- Chips used
- 256
- Numerical format
- FP32
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Epoch confidence
- Confident
More from Technical University of Munich,Med AI Technology,NVIDIA,Oak Ridge National Laboratory,Google,Seoul National University
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
← All ai models