Introducing Unsloth Studio: a no-code, offline UI to train and run AI models locally
Summary
Unsloth Studio (Beta) introduces a no-code web UI to train, run, and export open AI models locally. It supports GGUF and safetensor models, offers faster training with reduced VRAM, and provides data-to-dataset tooling, observability, and offline privacy. The project emphasizes a privacy-first, hardware-leaning workflow with multi-GPU support and upcoming platform expansions, plus integration options like Colab for experimenting with GPUs.