Instructions to use LiquidAI/LFM3-Audio-2B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LiquidAI/LFM3-Audio-2B-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download LiquidAI/LFM3-Audio-2B-MLX-4bit --local-dir LFM3-Audio-2B-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer_config.json from LiquidAI/LFM3-Audio-2B-MLX-4bit: direct link, hf CLI and curl.
- Browser
- Download file 675 Bytes
-
https://huggingface.co/LiquidAI/LFM3-Audio-2B-MLX-4bit/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://LiquidAI/LFM3-Audio-2B-MLX-4bit/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/LiquidAI/LFM3-Audio-2B-MLX-4bit/resolve/main/tokenizer_config.json
675 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|im_end|>", | |
| "extra_special_tokens": [], | |
| "image_token": "<|image|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "model_specific_special_tokens": { | |
| "image_token": "<|image|>", | |
| "video_token": "<|video|>", | |
| "vision_end_token": "<|vision_end|>", | |
| "vision_start_token": "<|vision_start|>" | |
| }, | |
| "pad_token": "<|pad|>", | |
| "processor_class": "Lfm3AudioProcessor", | |
| "tokenizer_class": "TokenizersBackend", | |
| "video_token": "<|video|>", | |
| "vision_end_token": "<|vision_end|>", | |
| "vision_start_token": "<|vision_start|>" | |
| } | |