Text Classification
MLX
Safetensors
English
prism_hadamard_qwen35
system-one
decision
calibrated-probabilities
jev
bonsai
ternary
apple-silicon
lora
vision
on-device
Instructions to use dakebakery/Bonsai-JEV-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dakebakery/Bonsai-JEV-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dakebakery/Bonsai-JEV-mlx --local-dir Bonsai-JEV-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download decision.json from dakebakery/Bonsai-JEV-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/dakebakery/Bonsai-JEV-mlx/resolve/main/decision.json
- Command line
-
hf download hf://dakebakery/Bonsai-JEV-mlx/decision.json
-
curl -L -o decision.json https://huggingface.co/dakebakery/Bonsai-JEV-mlx/resolve/main/decision.json
1.09 kB
| { | |
| "verbalizer_ids": [ | |
| 3721, | |
| 1802, | |
| 15, | |
| 16, | |
| 17, | |
| 18, | |
| 19, | |
| 20, | |
| 32, | |
| 33, | |
| 34, | |
| 35, | |
| 36, | |
| 37, | |
| 38, | |
| 39, | |
| 40, | |
| 41, | |
| 42, | |
| 43, | |
| 44, | |
| 45, | |
| 46, | |
| 47 | |
| ], | |
| "ranges": { | |
| "noul": [ | |
| 0, | |
| 2 | |
| ], | |
| "score": [ | |
| 2, | |
| 8 | |
| ], | |
| "choice": [ | |
| 8, | |
| 24 | |
| ] | |
| }, | |
| "lora_alpha": 32.0, | |
| "lora_r": 16, | |
| "head": true, | |
| "head_bias": [ | |
| 3.4485194646549644e-06, | |
| -3.6554981761582894e-06, | |
| -0.0010009182151407003, | |
| -0.0005279204924590886, | |
| -0.00021544685296248645, | |
| 0.0010316252009943128, | |
| 0.0005983320297673345, | |
| -0.0011680959723889828, | |
| -0.000275199010502547, | |
| -0.00032921574893407524, | |
| 2.3340366169577464e-05, | |
| -0.0002964120067190379, | |
| -0.00030537525890395045, | |
| -0.00025597872445359826, | |
| -0.0013690628111362457, | |
| -0.0019616945646703243, | |
| -0.004634346812963486, | |
| -0.004014429170638323, | |
| -0.004220574628561735, | |
| -0.0017117966199293733, | |
| -0.002136175986379385, | |
| -0.0017270121024921536, | |
| -0.003159990767017007, | |
| -0.00181759858969599 | |
| ], | |
| "per_kind_temperature": { | |
| "noul": 1.0138638019561768, | |
| "score": 1.0143107175827026, | |
| "choice": 1.0115430355072021 | |
| } | |
| } |