Instructions to use sugatoray/mlx-alphamonarch-7b-q4bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sugatoray/mlx-alphamonarch-7b-q4bits with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mlx-alphamonarch-7b-q4bits sugatoray/mlx-alphamonarch-7b-q4bits
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
sugatoray/mlx-alphamonarch-7b-q4bits
This model was converted to MLX format from mlabonne/AlphaMonarch-7B.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("sugatoray/mlx-alphamonarch-7b-q4bits")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 23
Model size
1B params
Tensor type
F16
·
U32 ·
Hardware compatibility
Log In to add your hardware
Quantized
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support