Get a QuinkGL swarm running in under five minutes.
pip install quinkglquinkgl manifest create \
--name demo \
--task-type class \
--input-shape 3,224,224 \
--output-shape 10 \
--label-type integer \
--model-framework pytorch \
--model-arch-hash sha256:7f2c1a9b3e4d0123456789abcdef0123456789abcdef0123456789abcdef0123 \
--aggregation FedAvg \
--topology Random \
--output demo.qglquinkgl manifest verify demo.qglquinkgl init --output-dir my-peer --template minimal --manifest demo.qgl
cd my-peerquinkgl run --manifest demo.qgl --dry-run- Tutorial T1 — Full walkthrough
- CLI Reference — All commands
- User Guide — Concepts and trust policies