Instructions to use lmstudio-community/gemma-4-E4B-it-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmstudio-community/gemma-4-E4B-it-MLX-6bit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lmstudio-community/gemma-4-E4B-it-MLX-6bit") model = AutoModelForMultimodalLM.from_pretrained("lmstudio-community/gemma-4-E4B-it-MLX-6bit", device_map="auto") - MLX
How to use lmstudio-community/gemma-4-E4B-it-MLX-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download lmstudio-community/gemma-4-E4B-it-MLX-6bit --local-dir gemma-4-E4B-it-MLX-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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