simple-llm-finetuner

Why we included this project

The project is a Gradio interface for running LoRA fine-tuning on Hugging Face models such as GPT and LLaMA through the PEFT library. It targets people who want to see how adapter training actually works without hand-writing training loops: you paste text samples separated by blank lines, adjust hyperparameters explained in the UI, train on a single NVIDIA GPU, and then open an inference tab to try the adapter you just built. The author flags the repository as effectively dead and points users to LLaMA-Factory, Unsloth, and text-generation-webui, so it is not something to build on. Its remaining value is as a compact, readable reference for how LoRA and PEFT workflows fit together, and for getting a feel for the dataset format these tools expect.