# mattmireles/gemma-tuner-multimodal

<https://repo.masters-masters.com/en/repos/mattmireles/gemma-tuner-multimodal>

[Home](https://repo.masters-masters.com/en) › [mattmireles](https://repo.masters-masters.com/en/owners/mattmireles) › [gemma-tuner-multimodal](https://repo.masters-masters.com/en/repos/mattmireles/gemma-tuner-multimodal)

mattmireles/gemma-tuner-multimodal has 1,516 stars on GitHub. Its RepoMasters card: Beta tier. Fine-tune Gemma 4 and 3n with audio, images and text on Apple…

| Field | Value |
| --- | --- |
| Owner | [mattmireles](https://repo.masters-masters.com/en/owners/mattmireles) |
| Stars | 1,516 |
| Forks | 105 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [mattmireles/gemma-tuner-multimodal](https://github.com/mattmireles/gemma-tuner-multimodal) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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