Instructions to use holotherapper/lilfugu-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use holotherapper/lilfugu-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir lilfugu-8bit holotherapper/lilfugu-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
lilfugu-8bit
8-bit quantized version of lilfugu. See the main model card for details.
2.8 GB — smallest variant for Apple Silicon.
Usage
pip install -U mlx-audio
from mlx_audio.stt import load
model = load("holotherapper/lilfugu-8bit")
result = model.generate("audio.wav", language="Japanese")
print(result.text)
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Model size
1B params
Tensor type
BF16
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U32 ·
Hardware compatibility
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Quantized
Model tree for holotherapper/lilfugu-8bit
Base model
Qwen/Qwen3-ASR-1.7B