Text Classification
MLX
Safetensors
English
decision-model
kev
crypto
news-classification
trading
lora
qwen3.5
apple-silicon
novaeon
Instructions to use NovaeonStudio/novaeon-sentinel-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use NovaeonStudio/novaeon-sentinel-9b with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir novaeon-sentinel-9b NovaeonStudio/novaeon-sentinel-9b
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download mlx-8bit/model.safetensors from NovaeonStudio/novaeon-sentinel-9b: direct link, hf CLI and curl.
- Browser
- Download file 8.43 GB
-
https://huggingface.co/NovaeonStudio/novaeon-sentinel-9b/resolve/main/mlx-8bit/model.safetensors
- Command line
-
hf download hf://NovaeonStudio/novaeon-sentinel-9b/mlx-8bit/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/NovaeonStudio/novaeon-sentinel-9b/resolve/main/mlx-8bit/model.safetensors
8.43 GB
- Xet hash:
- d8e3e6b02aee6b0f8363784407af4aad4be3e24c23010239644e4112fcb5c37e
- Size of remote file:
- 8.43 GB
- SHA256:
- 373bc466f1b795a080490dff3d4b952293909d930b9d053a09c8038250b1ea8a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.