What problem does it solve?
Managing large-scale foundation model training runs involves many failure modes: wrong checkpoints, code lineage drift, silent monitor failures, and lost artifacts. This Skill provides a disciplined operational workflow for launching, babysitting, recovering, and sealing production-critical Marin training runs so nothing falls through the cracks.
Core Features & Use Cases
- Validated Launch: Resolves launch blockers including source commit ancestry, pinned output roots, checkpoint retention policy, W&B tracker identity, and DRI assignment before submitting a run.
- Babysitting & Monitoring: Checks job health, W&B progress, checkpoint completion, and loss sanity on a regular cadence, escalating to the DRI when judgment calls are needed.
- Resume & Recovery: Handles relaunches with correct checkpoint lineage, distinguishing recoverable infrastructure failures from code bugs that require a new run identity.
- Seal & Handoff: Verifies final checkpoints, metrics, and cleanup, then records the seal in a GitHub issue and append-only logbook.
- Use Case: You need to launch a 500B-parameter mixture-of-experts pretraining run on TPU. This Skill walks you through pre-launch validation, sets up 15-minute monitoring, manages relaunches after preemption, and seals the run with verified final artifacts.
Quick Start
Ask the assistant to launch and babysit the hero training run from the reference launcher, then monitor it until completion and seal it.