QTune

Hey everyone! I’m Ruslan, the creator of QTune — a web app built with Gradio to simplify the fine-tuning of language models right on your local machine. It supports QLoRA-based workflows on GPUs with as little as 8 GB VRAM, integrates with Hugging Face, OpenRouter (for dataset generation), and even offers model conversion to GGUF format or direct deployment via Ollama. QTune provides an intuitive, end-to-end pipeline: choose your model, prepare or upload a dataset, configure training parameters, and monitor live training logs—all from your browser. I built this because I wanted something accessible, transparent, and efficient for developers, educators, and hobbyists alike. I’d love to hear your feedback, ideas, or feature requests. Happy to help if you run into any issues setting it up—just drop a note here! Thanks for checking out QTune, and I hope it makes LLM fine-tuning more approachable for everyone.