Instructions to use timteh673/Muse-Glimmer-30B-Abliterated-oQ8e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use timteh673/Muse-Glimmer-30B-Abliterated-oQ8e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Muse-Glimmer-30B-Abliterated-oQ8e timteh673/Muse-Glimmer-30B-Abliterated-oQ8e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
|
Download README.md from timteh673/Muse-Glimmer-30B-Abliterated-oQ8e: direct link, hf CLI and curl.
- Browser
- Download file 525 Bytes
-
https://huggingface.co/timteh673/Muse-Glimmer-30B-Abliterated-oQ8e/resolve/main/README.md
- Command line
-
hf download hf://timteh673/Muse-Glimmer-30B-Abliterated-oQ8e/README.md
-
curl -L -o README.md https://huggingface.co/timteh673/Muse-Glimmer-30B-Abliterated-oQ8e/resolve/main/README.md
525 Bytes
metadata
library_name: mlx
tags:
- mlx
- oq
- quantized
This quantization was uploaded on 2026-09-18 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
Muse-Glimmer-30B-Abliterated-oQ8e
This model was quantized using oQ (oMLX v0.7.0.dev2) mixed-precision quantization.
Quantization details
- Model type: muse_glimmer
- Bits: 8
- Group size: 64
- Format: MLX safetensors