Instructions to use mlx-community/MiniCPM-2B-sft-4bit-llama-format-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MiniCPM-2B-sft-4bit-llama-format-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniCPM-2B-sft-4bit-llama-format-mlx mlx-community/MiniCPM-2B-sft-4bit-llama-format-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- a03eac1c5cec56ddeed568992f4a70a6120336d6cff09142e9d717122a4a391e
- Size of remote file:
- 1.99 MB
- SHA256:
- c9aafcd7da1f5611dab6be545db74d5552a2ccc9c2a12c72ea7be63aac4a25d7
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