Instructions to use sahilchachra/granite-4.1-8b-8bit-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-8bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download sahilchachra/granite-4.1-8b-8bit-mlx --local-dir granite-4.1-8b-8bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 428 Bytes
8f497bb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"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|>"
}
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