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-vision.jsonl from r3lax/sys1mlx: direct link, hf CLI and curl.
- Browser
- Download file 221 Bytes
-
https://huggingface.co/r3lax/sys1mlx/resolve/main/example-vision.jsonl
- Command line
-
hf download hf://r3lax/sys1mlx/example-vision.jsonl
-
curl -L -o example-vision.jsonl https://huggingface.co/r3lax/sys1mlx/resolve/main/example-vision.jsonl
221 Bytes
| {"state": "Answer using the image.", "questions": {"color": {"type": "choice", "instructions": "What color is the circle?", "criteria": {"red": "red", "blue": "blue", "green": "green"}}}, "image_path": "example-red.png"} | |