Instructions to use kcvmk/whisper_medium_4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kcvmk/whisper_medium_4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper_medium_4bit kcvmk/whisper_medium_4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Whisper Medium โ MLX 4-bit Quantized
Custom MLX 4-bit quantization of OpenAI Whisper Medium optimized for MetalRT GPU inference on Apple Silicon.
Usage
Used by RCLI with the MetalRT engine for speech-to-text:
rcli setup # select MetalRT or Both engines
Note: Whisper Medium is in GPU beta. Whisper Tiny is recommended for production use.
Performance (Apple M3 Max)
| Metric | Value |
|---|---|
| Latency (1.2s audio) | 233 ms |
| RTF | 0.19x |
| Quantization | MLX 4-bit |
License
Model weights: MIT (OpenAI) MetalRT engine: Proprietary (RunAnywhere, Inc.)
Contact
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Hardware compatibility
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