Instructions to use numind/NuExtract3-mlx-5bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use numind/NuExtract3-mlx-5bits with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NuExtract3-mlx-5bits numind/NuExtract3-mlx-5bits
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
metadata
library_name: mlx
base_model: numind/NuExtract3
base_model_relation: quantized
tags:
- mlx
- mlx-vlm
- quantized
numind/NuExtract3-mlx-5bits
MLX quantized version of numind/NuExtract3.
Quantization
- mode:
affine - group_size:
64 - bits:
5 - dtype:
source/default - quant_predicate:
none
Usage
pip install -U mlx-vlm
mlx_vlm.generate --model numind/NuExtract3-mlx-5bits --prompt "your prompt"