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This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository for the latest instructions.
Minimum GPU compute capability 6.0, recommended 7.0. 8 CPU cores at 3.5 GHz recommended. 1000 IOPS minimum storage (5000 IOPS recommended). 4 GB swap minimum, 8 GB recommended. SSD storage type preferred.
Minimum GPU compute capability 6.0. 8 CPU cores at 3.5 GHz recommended. 1000 IOPS minimum storage (5000 IOPS recommended). 4 GB swap minimum, 8 GB recommended. SSD storage type preferred.
Clone the Mainframe repository
git clone https://github.com/macrocosm-os/folding.git && cd folding
Install folding package and dependencies
pip install -e .
Run the miner neuron with appropriate wallet credentials
python neurons/miner.py --netuid 25 --wallet.name <wallet_name> --wallet.hotkey <hotkey_name>
Clone the Mainframe repository
git clone https://github.com/macrocosm-os/folding.git && cd folding
Install folding package and dependencies
pip install -e .
Set S3 credentials for storing protein data and results
export S3_KEY=<your_s3_key> && export S3_SECRET=<your_s3_secret>
Run the validator neuron with appropriate wallet credentials
python neurons/validator.py --netuid 25 --wallet.name <wallet_name> --wallet.hotkey <hotkey_name>