Instructions to use cs2764/GLM-5-abliterated-dq3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cs2764/GLM-5-abliterated-dq3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GLM-5-abliterated-dq3-mlx cs2764/GLM-5-abliterated-dq3-mlx
- Transformers
How to use cs2764/GLM-5-abliterated-dq3-mlx with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cs2764/GLM-5-abliterated-dq3-mlx", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Ctrl+K
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- 4.92 GB xet
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- 4.46 GB xet
- 4.86 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.86 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.86 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.86 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.86 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.86 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.46 GB xet
- 4.86 GB xet
- 4.46 GB xet