Unsloth Studio

A browser-based workspace for fine-tuning language models on your own GPU, wrapping the training pipeline in a graphical interface instead of a notebook. It covers the full loop: picking a base model and a method such as QLoRA, LoRA or full fine-tuning, importing a dataset, setting hyperparameters, watching live loss and GPU stats, then comparing results to the base model.

ML engineers use it to adapt open models to a domain without writing training code, and to try several adapter configurations quickly.

Running the work locally keeps proprietary datasets and tuned weights off shared infrastructure, avoids hosted training pricing, and moves checkpoints straight to the model runtime you use.