Instructions to use kruatech/studio-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kruatech/studio-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download kruatech/studio-mlx --local-dir studio-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download shared/qwen3-4b-text-encoder/tokenizer/chat_format.json from kruatech/studio-mlx: direct link, hf CLI and curl.
- Browser
- Download file 441 Bytes
-
https://huggingface.co/kruatech/studio-mlx/resolve/main/shared/qwen3-4b-text-encoder/tokenizer/chat_format.json
- Command line
-
hf download hf://kruatech/studio-mlx/shared/qwen3-4b-text-encoder/tokenizer/chat_format.json
-
curl -L -o chat_format.json https://huggingface.co/kruatech/studio-mlx/resolve/main/shared/qwen3-4b-text-encoder/tokenizer/chat_format.json
441 Bytes
| { | |
| "formats": { | |
| "zimage": { | |
| "enable_thinking": true, | |
| "prefix": "<|im_start|>user\n", | |
| "suffix": "<|im_end|>\n<|im_start|>assistant\n", | |
| "rendered_token_count_for_x": 9 | |
| }, | |
| "klein": { | |
| "enable_thinking": false, | |
| "prefix": "<|im_start|>user\n", | |
| "suffix": "<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n", | |
| "rendered_token_count_for_x": 13 | |
| } | |
| }, | |
| "pad_token_id": 151643 | |
| } |