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Unsloth desktop app: run and fine-tune LLMs locally

Install the Unsloth desktop app and run or train models through a local UI.

Who it is forA developer who wants to fine-tune a model without writing training scripts.

The problemFine-tuning usually needs custom notebooks and environment setup.

The outcomeA local app for running and training models.

What you need first

  • Windows, macOS or Linux, or Docker
  • A GPU for training

Steps

  1. Install with brew install --cask unsloth or winget install --id UnslothAI.Unsloth -e
  2. Open Unsloth Desktop
  3. Pick a model to run
  4. Start a training job from the UI

Prompt for your agent

Install unslothai/unsloth, run <model> in the desktop app, and start a short fine-tune on <dataset>. Report training progress and where outputs are saved.

Caveat. Training speed and model size limits depend on your GPU.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for unslothai/unsloth and "Run and fine-tune open models from a desktop app"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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