Text Classification
MLX
Safetensors
English
qwen3_5
qwen3.5
decision
unofficial-port
experimental
4bit
4-bit precision
Instructions to use cowWhySo/jeeves-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cowWhySo/jeeves-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download cowWhySo/jeeves-mlx --local-dir jeeves-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download provenance/torch_reference.json from cowWhySo/jeeves-mlx: direct link, hf CLI and curl.
- Browser
- Download file 504 Bytes
-
https://huggingface.co/cowWhySo/jeeves-mlx/resolve/main/provenance/torch_reference.json
- Command line
-
hf download hf://cowWhySo/jeeves-mlx/provenance/torch_reference.json
-
curl -L -o torch_reference.json https://huggingface.co/cowWhySo/jeeves-mlx/resolve/main/provenance/torch_reference.json
504 Bytes
| { | |
| "status": "passed", | |
| "identity": "c4d0ea30e584dbf0d1e672c59c2e00036cb6a1a7025833ef49c01c63432b18fa", | |
| "device": "cpu", | |
| "dtype": "bfloat16", | |
| "fixture_sha256": "2887c941fd5a497ae51343a9e2382ea1d198ab5eb140f4e8c8fd37c54be4ebf0", | |
| "cases": [ | |
| { | |
| "id": "case0", | |
| "probabilities": [ | |
| 0.03340453281998634, | |
| 0.9665954113006592 | |
| ], | |
| "elapsed_seconds": 22.900140517999716 | |
| } | |
| ], | |
| "scope": "No-thinking reference outputs; diagnostic timings, not a benchmark." | |
| } | |