Instructions to use carlmuck/Star-Command-R-32B-v1-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use carlmuck/Star-Command-R-32B-v1-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download carlmuck/Star-Command-R-32B-v1-mlx-4Bit --local-dir Star-Command-R-32B-v1-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from carlmuck/Star-Command-R-32B-v1-mlx-4Bit: direct link, hf CLI and curl.
- Browser
- Download file 20.1 MB
-
https://huggingface.co/carlmuck/Star-Command-R-32B-v1-mlx-4Bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://carlmuck/Star-Command-R-32B-v1-mlx-4Bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/carlmuck/Star-Command-R-32B-v1-mlx-4Bit/resolve/main/tokenizer.json
20.1 MB
- Xet hash:
- 5cc6a68244853cc5ea87daea2955e4ec45631e46efea68cf1d111015c111c96c
- Size of remote file:
- 20.1 MB
- SHA256:
- afef0de6554e39ef28de75c6c502c90b5c1c81aa49eb13f8f3aa8fe32275da69
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