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 tokenizer.json from iapp/OpenThai-SystemOne-MLX-4bit: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/iapp/OpenThai-SystemOne-MLX-4bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://iapp/OpenThai-SystemOne-MLX-4bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/iapp/OpenThai-SystemOne-MLX-4bit/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 8858c97d2f19cef7e13ff1c5b006e00e411b3d65260163ec8f0a31e273fb8ba6
- Size of remote file:
- 20 MB
- SHA256:
- d3400f1532d54f98d82b24c503e61908aa66f84e22e566e59fc80494add3a5c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.