# Unsloth: Easily run and train models locally

> Source: <https://unsloth.ai/>
> Published: 2026-06-18 23:15:29+00:00

Unsloth Studio runs 100% offline on your **Mac** and **Windows** device. Run GGUF and Safetensors models with tool-calling, web search, and OpenAI compatible API.

Compare models side by side and upload images, docs, audio, code files and more.

Auto-create datasets from PDF, CSV, JSON docs and start training with real-time observability.

Unsloth's custom kernels supports optimized training for LoRA, FP8, FFT, PT and 500+ models including text, vision, audio and embeddings.

Chat with and compare 2 different models, such as a base model and a fine-tuned one, to see how their outputs differ.

Just load your first GGUF/model, then the second, and voilà!

Data Recipes transforms your docs into useable datasets via graph-node workflow. Upload unstructured or structured files like PDFs, CSV and JSON. Unsloth Data Recipes auto turns documents into your desired formats.

Export any model, including your fine-tuned models, to safetensors, or GGUF for use with llama.cpp, vLLM, Ollama, and more.

Why not try our fully free open source version? Finetune 2X faster on a single NVIDIA GPU for free on Google Colab or Kaggle Notebooks.