Simple LLM Finetuner is a beginner-friendly interface designed to make it easy to fine-tune various language models using LoRA method via the PEFT library . With this intuitive UI, users can easily manage datasets, customize parameters, train, and evaluate the model's inference capabilities. Users can paste datasets in the UI and specify the new LoRA adapter name in the "New PEFT Adapter Name" textbox, adjust the max sequence length and batch size to fit their GPU memory, and click train. The model will be saved in the lora/ directory. The UI is beginner-friendly and has explanations for each parameter. The requirements are Linux or WSL and modern NVIDIA GPU with >= 16 GB of VRAM.