Instructions to use selcukkubur/Confucius4-R2T2-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use selcukkubur/Confucius4-R2T2-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Confucius4-R2T2-mlx-4bit selcukkubur/Confucius4-R2T2-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model.safetensors from selcukkubur/Confucius4-R2T2-mlx-4bit: direct link, hf CLI and curl.
- Browser
- Download file 1.6 GB
-
https://huggingface.co/selcukkubur/Confucius4-R2T2-mlx-4bit/resolve/main/model.safetensors
- Command line
-
hf download hf://selcukkubur/Confucius4-R2T2-mlx-4bit/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/selcukkubur/Confucius4-R2T2-mlx-4bit/resolve/main/model.safetensors
1.6 GB
- Xet hash:
- ce34c5cb7cc206cbb140cef368189e2add70ced7fdb98ed7d0afd209baaf7141
- Size of remote file:
- 1.6 GB
- SHA256:
- d5b2689ca31d4b31905b596ab7b76cb3ef57759e6d8ec09e4f15dc2c3bcb05b2
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