MLX
Safetensors
English
Chinese
glm4_moe_lite
Mixture of Experts
reap
distillation
multi-teacher
reasoning
tool-use
logic
smarty
viveka
6-bit
Instructions to use guruswami-ai/Viveka-GLM-4.7-23B-REAP-Smarty-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use guruswami-ai/Viveka-GLM-4.7-23B-REAP-Smarty-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Viveka-GLM-4.7-23B-REAP-Smarty-MLX guruswami-ai/Viveka-GLM-4.7-23B-REAP-Smarty-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 961c851c73a3e1f213cece750e312f56f35412b14dd461536a2b2b9abc19aa33
- Size of remote file:
- 20.2 MB
- SHA256:
- 19e773648cb4e65de8660ea6365e10acca112d42a854923df93db4a6f333a82d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.