Text Classification
MLX
Safetensors
decision-model
jev-style
system-one
calibration
long-context
multilingual
qwen3.5
on-device
Instructions to use chaoliangUNSW/Jev-Style-0.8B-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-0.8B-Decision-v3-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Jev-Style-0.8B-Decision-v3-MLX chaoliangUNSW/Jev-Style-0.8B-Decision-v3-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat

- Xet hash:
- c8e3a4d7599ca5edbc804e9c706ccf95e93853b2643e2d62b9adf50174e90e7d
- Size of remote file:
- 225 kB
- SHA256:
- 957fb443f67d1ed91ef61fa83b0496347299823799bc97692d25893060b1e26d
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