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About huggingface-llm-trainer
huggingface-llm-trainer
Train or fine-tune language and vision models using TRL
huggingface-llm-trainer is an agent skill for training or fine-tuning language and vision models with TRL, the Transformer Reinforcement Learning library, on Hugging Face Jobs. Training runs on managed cloud GPUs, so no local GPU setup is needed, and finished models are saved to the Hugging Face Hub automatically. The skill covers the main TRL methods: supervised fine-tuning for standard instruction tuning, Direct Preference Optimization for alignment from preference data, Group Relative Policy Optimization for online reinforcement learning, and training reward models for RLHF. It also mentions Unsloth as a training option. The skill points the agent to the TRL documentation through the Hugging Face documentation tools for each method, so it can check current options before writing a training run. It is part of Hugging Face's skills repository and is added to a compatible agent with the skills command. Users who want a model trained on their own hardware should check the separate local tooling instead.
- Price
- Free
- Made by
- huggingface
- Category
- AI Skills
- Website
- github.com/huggingface/skills/huggingface-llm-trainer