Instructions to use ashudesai/gemma-4-e4b-it-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ashudesai/gemma-4-e4b-it-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ashudesai/gemma-4-e4b-it-4bit --local-dir gemma-4-e4b-it-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
mlx-community/gemma-4-e4b-it-4bit
This model was converted to MLX format from google/gemma-4-e4b-it
using mlx-vlm version 0.4.3.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/gemma-4-e4b-it-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
- Downloads last month
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Model size
8B params
Tensor type
BF16
ยท
U32 ยท
Hardware compatibility
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4-bit
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