AI models
EquiDock
Training compute
1.1×10¹⁹ FLOP
Published
Nov 15, 2021
EquiDock is an AI model developed by Massachusetts Institute of Technology (MIT), ETH Zurich and Tencent (United States, Switzerland and China), first published in November 2021. It works in the biology domain, on tasks such as proteins.
Training it took an estimated 1.1×10¹⁹ FLOP of compute (estimation method: hardware). It was trained on roughly 39.9K datapoints.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 171 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Massachusetts Institute of Technology (MIT), ETH Zurich, Tencent
- Country of organization
- United States, Switzerland, China
- Domain
- Biology
- Task
- Proteins
- Training compute
- 1.1×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Dataset size
- 39.9K
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 171
- Epoch confidence
- Likely
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.
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