EAGLE3 New Model Configuration

Create tools/launcher/examples/<Org>/<Model>/hf_offline_eagle3.yaml by copying the closest existing example and adapting it. Pick a reference with the same shape as the target (dense vs MoE, similar size) from tools/launcher/examples/ — e.g. the Qwen3-8B config for a dense model.

The pipeline is a 4-task config (task_0 data synthesis → task_1 hidden-state dump → task_2 train → task_3 benchmark). The task structure, args, containers, and GPU/node sizing are all visible in the existing examples — infer them from a reference rather than hand-rolling. This file documents only the two things that are not obvious from the examples: which dump backend to pick, and the model-specific gotchas.

Choosing the task_1 hidden-state dump backend