Instructions to use RSLtm/GLM-4.7-Flash-oQ4e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RSLtm/GLM-4.7-Flash-oQ4e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download RSLtm/GLM-4.7-Flash-oQ4e --local-dir GLM-4.7-Flash-oQ4e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from RSLtm/GLM-4.7-Flash-oQ4e: direct link, hf CLI and curl.
- Browser
- Download file 20.2 MB
-
https://huggingface.co/RSLtm/GLM-4.7-Flash-oQ4e/resolve/main/tokenizer.json
- Command line
-
hf download hf://RSLtm/GLM-4.7-Flash-oQ4e/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/RSLtm/GLM-4.7-Flash-oQ4e/resolve/main/tokenizer.json
20.2 MB
- Xet hash:
- 961c851c73a3e1f213cece750e312f56f35412b14dd461536a2b2b9abc19aa33
- Size of remote file:
- 20.2 MB
- SHA256:
- 19e773648cb4e65de8660ea6365e10acca112d42a854923df93db4a6f333a82d
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