---

name: training description: "Route Helios Stage 1, Stage 2, Stage 3 training and config workflows." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

Training

Use this sub-skill when the user needs to configure, validate, launch, resume, or debug Helios training.

Typical triggers

• "train Helios"
• "fine-tune the model"
• "run Stage 1/2/3"
• "validate this YAML config"
• "use DeepSpeed or DDP"
• "resume from checkpoint"
• "merge a LoRA checkpoint"

What this sub-skill covers

• Stage 1 architectural adaptation workflows.
• Stage 2 pyramid/token-compression workflows.
• Stage 3 distilled, ODE, GAN, and self-forcing variants.
• YAML config groups and common invariants.
• DDP versus DeepSpeed launch decisions.
• Checkpoint and LoRA handling at the workflow level.

What it does not own

• Raw video metadata validation belongs in data-preparation.
• Running the final generation/demo path belongs in inference.
• The metric benchmark suite is outside this generated runtime graph.

Read next

• references/workflows.md for stage selection and launch order.
• references/configuration.md for config groups and invariant checks.
• references/troubleshooting.md for training-specific failures.
• scripts/validate_train_config.py for a safe preflight check.
• scripts/compare_configs.py for comparing two YAML configs.

Working rule

Do not begin an expensive training run until the config, data layout, backend, and checkpoint paths have all been validated.