AI models
SPIDER2
Training compute
1.8×10¹⁶ FLOP
Parameters
409.5K
Published
Oct 28, 2016
SPIDER2 is an AI model developed by Griffith University, University of Iowa and Dezhou University (Australia, United States and China), first published in October 2016. It works in the biology domain, on tasks such as protein folding prediction and proteins.
Training it took an estimated 1.8×10¹⁶ FLOP of compute (estimation method: operation counting). The model has 409,536 parameters. It was trained on roughly 13.9M datapoints.
Access: Open weights (non-commercial). Its weights are openly available. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Griffith University, University of Iowa, Dezhou University
- Country of organization
- Australia, United States, China
- Domain
- Biology
- Task
- Protein folding prediction, Proteins
- Training compute
- 1.8×10¹⁶ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 409,536
- Dataset size
- 13.9M
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- 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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