AI models
ConfRank
Parameters
150K
Published
Nov 24, 2024
ConfRank is an AI model developed by University of Bonn, Institute for Numerical Simulation and Fraunhofer Institute for Algorithms and Scientific Computing (Germany), first published in November 2024. It works in the biology domain, on tasks such as drug discovery.
Epoch AI has no training-compute estimate for this model. The model has 150,000 parameters. It was trained on roughly 1.4M datapoints. Training ran on 1 NVIDIA GeForce RTX 3070.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Bonn, Institute for Numerical Simulation, Fraunhofer Institute for Algorithms and Scientific Computing
- Country of organization
- Germany
- Domain
- Biology
- Task
- Drug discovery
- Parameters
- 150,000
- Dataset size
- 1.4M
- Training hardware
- NVIDIA GeForce RTX 3070
- Chips used
- 1
- Training power draw
- 238 W
- Epoch confidence
- Confident
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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