AI models
HJRSS
Parameters
16M
Published
Sep 1, 2021
HJRSS is an AI model developed by University of Washington and Microsoft (United States), first published in September 2021. It works in the biology domain, on tasks such as protein design.
Epoch AI has no training-compute estimate for this model. The model has 16,000,000 parameters. Training ran on 1 NVIDIA V100.
It is built on top of ESM1b. The reference paper has 21 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Washington, Microsoft
- Country of organization
- United States
- Domain
- Biology
- Task
- Protein design
- Parameters
- 16,000,000
- Training hardware
- NVIDIA V100
- Chips used
- 1
- Training power draw
- 333 W
- Base model
- ESM1b
- Citations
- 21
- 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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