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 example.jsonl from r3lax/sys1mlx: direct link, hf CLI and curl.
- Browser
- Download file 169 Bytes
-
https://huggingface.co/r3lax/sys1mlx/resolve/main/example.jsonl
- Command line
-
hf download hf://r3lax/sys1mlx/example.jsonl
-
curl -L -o example.jsonl https://huggingface.co/r3lax/sys1mlx/resolve/main/example.jsonl
169 Bytes
| {"state":"The circle is red.","questions":{"color":{"type":"choice","instructions":"What color is the circle?","criteria":{"red":"red","blue":"blue","green":"green"}}}} | |