Audio-Text-to-Text
MLX
Safetensors
lfm3_omni
liquid
lfm3
edge
decision
classification
calibration
system-one
multimodal
vision
audio
custom_code
8-bit precision
Instructions to use LiquidAI/d1-Omni-2B-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LiquidAI/d1-Omni-2B-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download LiquidAI/d1-Omni-2B-MLX-8bit --local-dir d1-Omni-2B-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 625 Bytes
f0ad5bf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"backend": "tokenizers",
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"extra_special_tokens": [],
"image_token": "<|image|>",
"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": "Lfm3OmniProcessor",
"tokenizer_class": "TokenizersBackend",
"video_token": "<|video|>",
"vision_end_token": "<|vision_end|>",
"vision_start_token": "<|vision_start|>"
}
|