Instructions to use QuantLLM/functiongemma-270m-it-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use QuantLLM/functiongemma-270m-it-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir functiongemma-270m-it-4bit-mlx QuantLLM/functiongemma-270m-it-4bit-mlx
- Transformers
How to use QuantLLM/functiongemma-270m-it-4bit-mlx with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QuantLLM/functiongemma-270m-it-4bit-mlx", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
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