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
File size: 438 Bytes
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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
```bash
pip install -U mlx-vlm
mlx_vlm.generate --model numind/NuExtract3-mlx-5bits --prompt "your prompt"
``` |