Unsloth

Unsloth

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Introduction
Unsloth is an open-source, no-code web UI for training, running and exporting open models in one unified local interface.
Listed on
July 22, 2026

What is Unsloth?

Unsloth is an open-source, no-code web UI for training, running and exporting open models in one unified local interface. It runs 100% offline on Mac and Windows devices, supporting GGUF and Safetensors models with tool-calling, web search, and an OpenAI compatible API. The platform also offers optimized training kernels for LoRA, FP8, FFT, PT and 500+ models including text, vision, audio and embeddings.

How to use Unsloth?

  • Start by downloading Unsloth Studio and running it locally on your Mac or Windows device. Upload your documents (PDF, CSV, JSON) to auto-create datasets, then use the no-code interface to train models with real-time observability. You can also run models locally, compare them side by side, and export fine-tuned models to safetensors or GGUF formats for use with llama.cpp, vLLM, Ollama, and more.

Core features of Unsloth

  • No-code training with auto-created datasets from PDF, CSV, JSON docs
  • Run models 100% offline with GGUF and Safetensors support
  • Tool-calling and unlimited web search with Bash and Python execution
  • OpenAI compatible API
  • Compare models side by side
  • Export models to safetensors or GGUF for llama.cpp, vLLM, Ollama
  • Optimized training kernels for LoRA, FP8, FFT, PT and 500+ models
  • Data Recipes for transforming docs into usable datasets via graph-node workflow

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