Instructions to use mlx-community/OpenHathi-7B-Hi-v0.1-Base-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/OpenHathi-7B-Hi-v0.1-Base-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenHathi-7B-Hi-v0.1-Base-4bit-mlx mlx-community/OpenHathi-7B-Hi-v0.1-Base-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
OpenHathi-7B-Hi-v0.1-Base-4bit-mlx
This model was converted to MLX format from sarvamai/OpenHathi-7B-Hi-v0.1-Base.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/OpenHathi-7B-Hi-v0.1-Base-4bit-mlx --prompt "My name is"
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Hardware compatibility
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