Instructions to use georgeis55/Ornith-1.0-35B-MLX-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use georgeis55/Ornith-1.0-35B-MLX-oQ8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ornith-1.0-35B-MLX-oQ8 georgeis55/Ornith-1.0-35B-MLX-oQ8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 360 Bytes
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library_name: mlx
tags:
- mlx
- oq
- quantized
base_model:
- deepreinforce-ai/Ornith-1.0-35B
---
# Ornith-1.0-35B-MLX-oQ8
This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.4.4) mixed-precision quantization.
## Quantization details
- **Model type**: qwen3_5_moe
- **Bits**: 8
- **Group size**: 64
- **Format**: MLX safetensors |