Text Classification
MLX
Safetensors
jev-style
qwen3_5
decision-model
decision-making
system-one
calibration
long-context
qwen3.5
apple-silicon
on-device
llm-routing
guardrails
Instructions to use chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Jev-Style-2B-Decision-v3-MLX chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX
- jev-style
How to use chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX with jev-style:
# Apple silicon pip install "jev-style[mlx]"
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX") out = js.decide("I was charged twice for one order.", { "billing": noul("This message is about billing."), "team": choice("Which team should handle it?", ["billing", "shipping", "tech"]), }) print(out["answers"]["team"]["choice"]) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download figures/banner.png from chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX: direct link, hf CLI and curl.
- Browser
- Download file 447 kB
-
https://huggingface.co/chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX/resolve/main/figures/banner.png
- Command line
-
hf download hf://chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX/figures/banner.png
-
curl -L -o banner.png https://huggingface.co/chaoliangUNSW/Jev-Style-2B-Decision-v3-MLX/resolve/main/figures/banner.png
447 kB

- Xet hash:
- dfa041d014b8b97f7e340f7cc4222d0a8d02cc4ee3939bfd1e6bb243c8b7a56d
- Size of remote file:
- 447 kB
- SHA256:
- 2623e4afad36239aaa007c34350d6f2fbacb33430ffd3c36ce2f7ee7db849b47
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