{
  "$type": "site.standard.document",
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  "path": "/t/m-courtyard-v0-5-3-better-gemma-4-local-training-improved-ollama-export-and-stability-fixes/175154#post_1",
  "publishedAt": "2026-04-10T15:21:48.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "GitHub",
    "Release M-Courtyard v0.5.3 · Mcourtyard/m-courtyard"
  ],
  "textContent": "We’re happy to share **M-Courtyard v0.5.3**.\n\nThis release is focused on improving the real-world local fine-tuning experience on Apple Silicon, with special attention to **Gemma 4 support** , **training reliability** , and **export stability**.\n\n## What’s improved in v0.5.3\n\n### Better Gemma 4 local training support\n\nM-Courtyard now handles Gemma 4 local model layouts more reliably, improving local model detection and making the training workflow smoother for Gemma 4 users.\n\n### Improved Ollama export compatibility\n\nWe added better Gemma 4 compatibility in the export pipeline, making it easier to turn trained models into Ollama-ready packages.\n\n### macOS environment setup fixes\n\nThis release fixes a regression in the macOS environment setup flow, improving reliability when preparing the local training environment.\n\n### General bug fixes and stability improvements\n\nv0.5.3 also includes multiple fixes across the local fine-tuning workflow to make training and export more dependable in daily use.\n\n## About M-Courtyard\n\nM-Courtyard is a privacy-first desktop app for Apple Silicon that helps users go from raw text to fine-tuned local models with a guided local workflow.\n\n## Release\n\nGitHub release:\n\nGitHub\n\n### Release M-Courtyard v0.5.3 · Mcourtyard/m-courtyard\n\nv0.5.3 Fixed macOS uv --system-certs regression Gemma 4 local model detection and training Gemma 4 Ollama export compatibility Changed Online model lists: Qwen 3.5, Gemma 4, removed Phi mlx-lm[t...",
  "title": "M-Courtyard v0.5.3: Better Gemma 4 Local Training, Improved Ollama Export, and Stability Fixes"
}