Automatic Speech Recognition
MLX
ONNX
Safetensors
asr
speech-recognition
robust-asr
quantized
int4
4bit
mixed-precision
dwq
on-device
apple-silicon
qwen3
qwen3-asr
mega-asr
Instructions to use Reza2kn/mega-asr-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Reza2kn/mega-asr-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mega-asr-mlx Reza2kn/mega-asr-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Add mixed 8-bit attn + 4-bit MLP variant (92.2%)
Browse files
mlx/llm-mixed8_4/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:43fe6882536c96f92b04117520432b32f98fb5deb2bf05f1c4988ea286d66b22
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size 1591540421
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