training-hub
LLM post-training — unified interface for SFT, OSFT, LoRA fine-tuning, and GRPO reinforcement learning
Plugin training-hub from marketplace training-hub in Red-Hat-AI-Innovation-Team/training_hub. Commands read from the repo's manifest — today.
What it installs
Skills (4)
memory-estimationUse when the user wants to estimate GPU memory (VRAM) requirements for a training configuration, check if a model will fit on their GPUs, or plan GPU allocation for training.
setup-guideUse when the user wants to set up LLM training for the first time, or when training_hub is not yet installed/configured in the current environment.
training-guideUse when the user wants to run a training job using a saved configuration. For algorithm selection, hyperparameter advice, or troubleshooting, use the training-hub-guide skill instead.
training-hub-guideGuides users through LLM post-training with Training Hub, including installation, algorithm selection (SFT, OSFT, LoRA), hyperparameter tuning, troubleshooting OOM errors, interpreting loss curves, and leveraging backend-specific features. Use when the user is working with training_hub, fine-tuning
Maintain training-hub?
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