mattmireles/gemma-tuner-multimodal

Trend Velocity Score: 0.00
Opportunity Score: 50.00
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Language: <a class="text-blue-600 dark:text-blue-400 hover:underline" href="/languages/Python">Python
License: MIT
First Seen: 4 months ago

Worth installing(Strong adoption and recent activity)

Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.

Why this repo matters

Enables multimodal Gemma fine-tuning (image, audio, text) on Apple Silicon.
Supports cloud data streaming for large datasets without local storage constraints.
Offers a real-time training visualizer without external tools like TensorBoard.

1.5k stars+27 over 36 snapshots6/22/2026 – 9/30/2026

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