Any-to-Any
Transformers
Safetensors
MLX
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
ara
mlx-my-repo
8-bit precision
Instructions to use cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit") model = AutoModelForMultimodalLM.from_pretrained("cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit") - MLX
How to use cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-E4B-it-heretic-mlx-8Bit cookietimeh/gemma-4-E4B-it-heretic-mlx-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Welcome to the community
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