AI models
ConoDL
Parameters
1.2B
Published
Sep 28, 2024
ConoDL is an AI model developed by Chongqing University and Ministry of Natural Resources (China) (China), first published in September 2024. It works in the biology domain, on tasks such as toxin prediction.
Epoch AI has no training-compute estimate for this model. The model has 1,200,000,000 parameters. It was trained on roughly 108.7K datapoints. Training ran on 1 NVIDIA GeForce RTX 3080.
Access: Open weights (non-commercial). Its weights are openly available. It is built on top of ProGen. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Chongqing University, Ministry of Natural Resources (China)
- Country of organization
- China
- Domain
- Biology
- Task
- Toxin prediction
- Parameters
- 1,200,000,000
- Dataset size
- 108.7K
- Training hardware
- NVIDIA GeForce RTX 3080
- Chips used
- 1
- Training power draw
- 346 W
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Base model
- ProGen
- 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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