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Initialize models, layers and training wrappers from one immutable config. Resolve capture layers and mask_token_id before construction, and keep HF adaptation separate from runtime settings.
Training reads model.draft_model_config from the user YAML. The EAGLE/P-EAGLE capture-layer choice is persisted in eagle_config. Recipe edits embed the existing settings; review them separately from the model/provider changes.
Depends on #1043.
Validation: 639 CPU-suite tests completed, 48 skipped.
Stack: #1042 → #1043 → #1058 → #1059 → #1044 → #1060 → #1061 → #1052 → #1045 → #1046.
Independent CPU CI: #1053.