---

name: optimate description: "Routes OptiMate workflows for Speedster inference optimization, NebullVM backend selection, Forward-Forward training, OpenAlphaTensor training, and ChatLLaMA RLHF setup." disable-model-invocation: true metadata: disco-role: operating license: NO_LICENSE

OptiMate

Use this skill for the repository's public workflows around model optimization, backend selection, standalone training engines, and ChatLLaMA RLHF setup.

Route map

If the user asks about...	Start here
speedster, optimize_model, save_model, load_model, compiler/backend filtering, latency summaries, or model acceleration	sub-skills/speedster-optimization/SKILL.md
nebullvm, DataManager, check_device, compiler selection, optional backend probing, or device parsing	sub-skills/nebullvm-backends/SKILL.md
Forward-Forward training, MNIST or Aesop Fables loaders, progressive/recurrent/NLP model types, or Python 3.9 compatibility	sub-skills/forward-forward-training/SKILL.md
OpenAlphaTensor configs, checkpoints, matrix-multiplication search, or the main.py training CLI	sub-skills/open-alpha-tensor/SKILL.md
ChatLLaMA datasets, config YAMLs, actor/reward/RLHF training, DeepSpeed, or PEFT setup	sub-skills/chatllama-rlhf/SKILL.md

Read first

• references/repo-provenance.md
• references/package-map.md
• references/installation-and-backends.md
• references/troubleshooting.md
• references/repo-routing-metadata.json

Shared behavior

• Treat the source checkout as evidence only; the skill tree must stand on its own.
• Use the nearest sub-skill for concrete API, CLI, data, or workflow detail.
• If a request spans packages, start with the most specific sub-skill and then read the root references for shared backend or environment guidance.
• Keep training and optimization detail out of the root router; do not duplicate long API tables here.

Minimal smoke probe

Use the bundled helper to verify that the public package roots import and the host backend is visible:

python scripts/check_optimate_environment.py --modules speedster,nebullvm --check-cuda

For Forward-Forward and ChatLLaMA compatibility questions, prefer the sub-skill scripts because they encode the source-era Python and dependency constraints.