TRL Training on Hugging Face

关于

Streamlines the process of training language models by providing comprehensive support for SFT, DPO, GRPO, and reward modeling workflows on Hugging Face Jobs. It automates training script generation using UV and PEP 723, handles hardware selection and cost estimation, integrates real-time monitoring via Trackio, and ensures model persistence by automatically pushing results to the Hub. This skill is ideal for developers who need to perform advanced model alignment and fine-tuning without the complexity of managing local GPU infrastructure.

主要功能

• Automated model persistence to Hugging Face Hub and GGUF conversion
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• Support for SFT, DPO, GRPO, and reward modeling training methods
• Hardware optimization guidance and cost estimation for various model sizes
• Real-time training monitoring and visualization with Trackio integration
• Automated job submission using UV scripts with inline dependency management

使用场景

• Fine-tuning instruction-following models on cloud GPUs without local hardware
• Aligning model behavior with human preferences using Direct Preference Optimization (DPO)
• Converting trained models to GGUF format for deployment in local inference tools