Instructions to use sahilchachra/granite-4.1-8b-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sahilchachra/granite-4.1-8b-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir granite-4.1-8b-4bit-mlx sahilchachra/granite-4.1-8b-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|end_of_text|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|end_of_text|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<|pad|>", | |
| "padding_side": "left", | |
| "tokenizer_class": "TokenizersBackend", | |
| "tool_parser_type": "json_tools", | |
| "unk_token": "<|unk|>" | |
| } | |