G.O.D Subnet

🚀 Welcome to the Gradients on Demand Subnet

Providing access to Bittensor network for on-demand training at scale.

Setup Guides

• Miner Setup Guide
• Validator Setup Guide

Recommended Compute Requirements

Compute Requirements

Miner Advice

Miner Advice

Running evaluations on your own

You can re-evaluate existing tasks on your own machine. Or you can run non-submitted models to check if they are good. This works for tasks not older than 7 days.

Make sure to build the latest docker images before running the evaluation.

docker build -f dockerfiles/validator.dockerfile -t weightswandering/tuning_vali:latest .
docker build -f dockerfiles/validator-diffusion.dockerfile -t diagonalge/tuning_validator_diffusion:latest .

To see the available options, run:

python -m utils.run_evaluation --help

To re-evaluate a task, run:

python -m utils.run_evaluation --task_id <task_id>

To run a non-submitted model, run:

python -m utils.run_evaluation --task_id <task_id> --models <model_name>