Multiple Choice
MLX
Safetensors
English
Russian
qwen3_5
decision-model
vision
experimental
4-bit precision
Instructions to use ardanila/sys1mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ardanila/sys1mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ardanila/sys1mlx --local-dir sys1mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download head_config.json from ardanila/sys1mlx: direct link, hf CLI and curl.
- Browser
- Download file 22 Bytes
-
https://huggingface.co/ardanila/sys1mlx/resolve/main/head_config.json
- Command line
-
hf download hf://ardanila/sys1mlx/head_config.json
-
curl -L -o head_config.json https://huggingface.co/ardanila/sys1mlx/resolve/main/head_config.json
22 Bytes
| { | |
| "head_dim": 256 | |
| } | |