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 lora/training_metrics.json from NovaeonStudio/novaeon-sentinel-9b: direct link, hf CLI and curl.
- Browser
- Download file 320 Bytes
-
https://huggingface.co/NovaeonStudio/novaeon-sentinel-9b/resolve/0cd33f0c304c70f592abb91e28cd88201f5fcfbc/lora/training_metrics.json
- Command line
-
hf download hf://NovaeonStudio/novaeon-sentinel-9b@0cd33f0c304c70f592abb91e28cd88201f5fcfbc/lora/training_metrics.json
-
curl -L -o training_metrics.json https://huggingface.co/NovaeonStudio/novaeon-sentinel-9b/resolve/0cd33f0c304c70f592abb91e28cd88201f5fcfbc/lora/training_metrics.json
320 Bytes
| { | |
| "wall_seconds": 15312.64278793335, | |
| "records_seen": 5052, | |
| "requested_records": 5052, | |
| "truncated_records": 0, | |
| "rejected_records": 0, | |
| "optimizer_steps": 632, | |
| "forward_tokens": 1719860, | |
| "peak_device_bytes": 16694669312, | |
| "device": "mps", | |
| "dtype": "fp32", | |
| "batch": 1, | |
| "peak_rss_bytes": 15511683072 | |
| } | |