Text Classification
MLX
Safetensors
modernbert
routing
llm-routing
prompt-classification
multilingual
Instructions to use scombat/s1d1-router-6src-tiny-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use scombat/s1d1-router-6src-tiny-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download scombat/s1d1-router-6src-tiny-mlx-8bit --local-dir s1d1-router-6src-tiny-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download variant.json from scombat/s1d1-router-6src-tiny-mlx-8bit: direct link, hf CLI and curl.
- Browser
- Download file 272 Bytes
-
https://huggingface.co/scombat/s1d1-router-6src-tiny-mlx-8bit/resolve/main/variant.json
- Command line
-
hf download hf://scombat/s1d1-router-6src-tiny-mlx-8bit/variant.json
-
curl -L -o variant.json https://huggingface.co/scombat/s1d1-router-6src-tiny-mlx-8bit/resolve/main/variant.json
272 Bytes
| { | |
| "backend": "mlx", | |
| "recipe": "mlx bf16 bits=8 emb_bits=None group=64 head_quantized=False", | |
| "source": "scombat/s1d1-router-6src-tiny", | |
| "sigma": 0.123, | |
| "sigma_rows": 4850, | |
| "sigma_date": "2026-10-20", | |
| "max_length": 1024, | |
| "score_center": 0.5, | |
| "score_scale": 0.25 | |
| } | |