Instructions to use FurAbyss/Equinox-31B-oQ4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FurAbyss/Equinox-31B-oQ4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Equinox-31B-oQ4 FurAbyss/Equinox-31B-oQ4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 426 Bytes
0f11c94 dc64cd8 0f11c94 dc64cd8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ---
license: apache-2.0
base_model:
- LatitudeGames/Equinox-31B
library_name: mlx
tags:
- oq
---
# Equinox-31B-oQ4
This model was quantized from [LatitudeGames/Equinox-31B](https://huggingface.co/LatitudeGames/Equinox-31B) using [oQ](https://github.com/jundot/omlx) (oMLX v0.3.8) mixed-precision quantization.
## Quantization details
- **Model type**: gemma4
- **Bits**: 4
- **Group size**: 64
- **Format**: MLX safetensors |