LLaMA-LoRA Tuner provides a graphical interface for parameter-efficient fine-tuning of large language models via Low-Rank Adaptation. It supports multiple base models including LLaMA, GPT-J, GPT4All-J, Dolly, and Pythia, and offers one-click Colab deployment. The project includes a Gradio-based chat UI to demonstrate fine-tuned models interactively, and handles dataset loading in JSON/JSONL formats.