Multiple Choice
MLX
Safetensors
English
Russian
qwen3_5
decision-model
vision
experimental
4-bit precision
Instructions to use r3lax/sys1mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use r3lax/sys1mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sys1mlx r3lax/sys1mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from r3lax/sys1mlx: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/r3lax/sys1mlx/resolve/main/tokenizer.json
- Command line
-
hf download hf://r3lax/sys1mlx/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/r3lax/sys1mlx/resolve/main/tokenizer.json
12.8 MB
- Xet hash:
- 90cdfe25a6078132bfe69179f0ff319854304299935a36ec5891b0bc6212d2b4
- Size of remote file:
- 12.8 MB
- SHA256:
- fe000e3ed39ed12b8d2481d527d44f93c65d37e87645d2dcc80d1bf9d50d2927
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