Unsloth Studio launches open-source no-code UI for local AI model training

Unsloth has launched Unsloth Studio (Beta), an open-source, no-code platform for running, training, and exporting AI models locally on Windows, Mac, and Linux. The tool enables training of over 500 models twice as fast while using 70% less VRAM, without accuracy loss. Users can generate datasets automatically from PDF, CSV, DOCX, and other file types, and export models for compatibility with llama.cpp and similar platforms. The beta also supports real-time observability features, multi-modal models, and full offline functionality with token-based authentication.