Torchtune is a native PyTorch library for post-training LLM fine-tuning, supporting techniques like LoRA, QLoRA, and full fine-tuning across models including Llama, Qwen, Gemma, and others. It provides modular components, configuration-driven recipes, and multi-node training support for training and evaluating language models.