AI models
ProtChatGPT
Training compute
7.2×10²³ FLOP
Parameters
8B
Published
Feb 15, 2024
ProtChatGPT is an AI model developed by University of Technology Sydney and Zhejiang University (ZJU) (Australia and China), first published in February 2024. It works in the biology domain, on tasks such as protein question answering.
Training it took an estimated 7.2×10²³ FLOP of compute (estimation method: hardware). The model has 8,000,000,000 parameters. Training ran on 2 NVIDIA H100 SXM5 80GB for about 24 hours.
Access: Unreleased. Its weights are not openly released. It is built on top of Llama 3-8B. The reference paper has 23 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Technology Sydney, Zhejiang University (ZJU)
- Country of organization
- Australia, China
- Domain
- Biology
- Task
- Protein question answering
- Training compute
- 7.2×10²³ FLOP
- Compute estimation method
- Hardware
- Parameters
- 8,000,000,000
- Training hardware
- NVIDIA H100 SXM5 80GB
- Chips used
- 2
- Training time
- 24 h
- Training power draw
- 2.8 kW
- Model accessibility
- Unreleased
- Open weights
- No
- Base model
- Llama 3-8B
- Citations
- 23
- 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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