mattmireles/gemma-tuner-multimodal
Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.
- Stars
- 1.5k
- Forks
- 105
- Open issues
- 4
- Last push
- 18d ago
About gemma-tuner-multimodal
gemma-tuner-multimodal is a free, open-source machine learning tool by mattmireles, written mainly in Python. Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders. It has 1.5k GitHub stars and 105 forks, and was last updated 18d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Language
- Python
- Stars
- 1,516
- Last update
- 18d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
Similar free tools
peft22k stars · 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
easy-dataset15k stars · A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
maestro2.7k stars · streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
SimpleTuner2.9k stars · A general fine-tuning kit geared toward image/video/audio diffusion models.
CLIP-fine-tune274 stars · Fine-tuning code for CLIP models
axolotl13k stars · Go ahead and axolotl questions
gemma-tuner-multimodal FAQ
Is gemma-tuner-multimodal free?
Yes. gemma-tuner-multimodal is open source and free to use. It's released under the MIT license, a standard open-source license.
Does gemma-tuner-multimodal run on a Mac?
Yes. According to the project, gemma-tuner-multimodal works on macOS.
Does gemma-tuner-multimodal need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is gemma-tuner-multimodal still maintained?
Yes. It was last updated 18d ago and has 4 open issues on GitHub.
What are alternatives to gemma-tuner-multimodal?
Similar free, open-source tools include peft, easy-dataset, maestro, SimpleTuner.