Instructions to use ekryski/gemma-4-12B-it-assistant-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ekryski/gemma-4-12B-it-assistant-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-12B-it-assistant-mlx-4bit ekryski/gemma-4-12B-it-assistant-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
gemma-4-12B-it-assistant
4-bit affine quantization of google/gemma-4-12B-it-assistant, produced with FFAI 0.1.0's ffai convert (mlx-affine format, group_size=64).
Conversion
ffai convert google/gemma-4-12B-it-assistant --bits 4
See also
- FFAI — fast Apple Silicon LLM inference.
Model.load("google/gemma-4-12B-it-assistant")runs this checkpoint end-to-end. - FFAI quickstart
- FFAI quantization docs
- Downloads last month
- 755
Model size
0.3B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit
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Model tree for ekryski/gemma-4-12B-it-assistant-mlx-4bit
Base model
google/gemma-4-12B-it-assistant