ELPA

Overview

This skill does not train toy adapters. It triggers real sub-model training commands from your own training codebases and then builds ELPA routing/weights from real validation errors.

Default model pool is intentionally larger than 4 and can be expanded freely.

Workflow

1. Prepare a training config JSON (see assets/elpa_train_template.json).
2. Dry-run the command plan to verify all sub-model commands.
3. Execute real sub-model training when resources are available.
4. Prepare validation error inputs per model.
5. Build ELPA ensemble policy JSON from those errors.

1) Prepare Config

Create a config based on assets/elpa_train_template.json.