MLX
Safetensors
glm4_moe_lite_mtp
speculative-decoding
multi-token-prediction
drafter
4-bit precision
Instructions to use samithaj/GLM-4.7-Flash-MTP-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use samithaj/GLM-4.7-Flash-MTP-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GLM-4.7-Flash-MTP-4bit samithaj/GLM-4.7-Flash-MTP-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 961c851c73a3e1f213cece750e312f56f35412b14dd461536a2b2b9abc19aa33
- Size of remote file:
- 20.2 MB
- SHA256:
- 19e773648cb4e65de8660ea6365e10acca112d42a854923df93db4a6f333a82d
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