Text Classification
MLX
Safetensors
Thai
English
qwen3_5
system-one
decision-model
thai
qwen3.5
quantized
apple-silicon
4-bit precision
Instructions to use iapp/OpenThai-SystemOne-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use iapp/OpenThai-SystemOne-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download iapp/OpenThai-SystemOne-MLX-4bit --local-dir OpenThai-SystemOne-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download head_config.json from iapp/OpenThai-SystemOne-MLX-4bit: direct link, hf CLI and curl.
- Browser
- Download file 142 Bytes
-
https://huggingface.co/iapp/OpenThai-SystemOne-MLX-4bit/resolve/main/head_config.json
- Command line
-
hf download hf://iapp/OpenThai-SystemOne-MLX-4bit/head_config.json
-
curl -L -o head_config.json https://huggingface.co/iapp/OpenThai-SystemOne-MLX-4bit/resolve/main/head_config.json
142 Bytes
| { | |
| "abstain_slot": 255, | |
| "answer_token_id": 248082, | |
| "n_slots": 256, | |
| "n_temperatures": 3, | |
| "head_bias": true, | |
| "pad_token_id": 248044 | |
| } |