{
  "$type": "site.standard.document",
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    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mezte7a7nuc2"
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  "path": "/t/tool-m-courtyard-gui-for-local-llm-fine-tuning-on-apple-silicon/173556#post_1",
  "publishedAt": "2026-02-17T03:56:30.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "GitHub - Mcourtyard/m-courtyard: M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm."
  ],
  "textContent": "Hi everyone! I’ve been working on a desktop app that makes local LLM fine-tuning more accessible for Mac users.\n\n**What it does:**\n\n  * Import documents → Generate training data with Ollama → Fine-tune with mlx-lm → Export to Ollama\n  * Runs entirely locally, no cloud/API required\n  * Built with Tauri + React, leverages Apple’s MLX framework\n\n\n\n**Why I built it:**\nThe mlx-lm library is powerful, but the CLI workflow can be intimidating. This app wraps everything into a GUI while keeping the full flexibility.\n\nGitHub: GitHub - Mcourtyard/m-courtyard: M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm.\n\nWould love to hear feedback from the community!",
  "title": "[Tool] M-Courtyard – GUI for local LLM fine-tuning on Apple Silicon"
}