Instructions to use brainworkup/NuExtract3-oQ8e-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use brainworkup/NuExtract3-oQ8e-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download brainworkup/NuExtract3-oQ8e-mtp --local-dir NuExtract3-oQ8e-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from brainworkup/NuExtract3-oQ8e-mtp: direct link, hf CLI and curl.
- Browser
- Download file 506 Bytes
-
https://huggingface.co/brainworkup/NuExtract3-oQ8e-mtp/resolve/main/README.md
- Command line
-
hf download hf://brainworkup/NuExtract3-oQ8e-mtp/README.md
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curl -L -o README.md https://huggingface.co/brainworkup/NuExtract3-oQ8e-mtp/resolve/main/README.md
506 Bytes
metadata
library_name: mlx
tags:
- mlx
- oq
- quantized
This quantization was uploaded on 2026-10-13 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
NuExtract3-oQ8e-mtp
This model was quantized using oQ (oMLX v0.7.1.dev1) mixed-precision quantization.
Quantization details
- Model type: qwen3_5
- Bits: 8
- Group size: 64
- Format: MLX safetensors