---
license: mit
language:
  - en
  - multilingual
tags:
  - whisper
  - speech-to-text
  - mlx
  - quantized
  - q8
  - apple-silicon
library_name: transformers
pipeline_tag: automatic-speech-recognition
base_model: openai/whisper-medium
---

# Whisper Medium - MLX Q8 Quantized

8-bit quantized version of OpenAI's Whisper Medium, optimized for Apple Silicon with MLX.

## Model Details

| Property | Value |
|----------|-------|
| Original Model | [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) |
| Parameters | ~769M |
| Quantization | INT8 (Q8) |
| Size | ~800MB |

## Other Whisper Models

| Model | Size | Link |
|-------|------|------|
| small | ~300MB | [LibraxisAI/whisper-small-mlx-q8](https://huggingface.co/LibraxisAI/whisper-small-mlx-q8) |
| **medium** (this) | ~800MB | - |
| large-v3 | ~1.6GB | [LibraxisAI/whisper-large-v3-mlx-q8](https://huggingface.co/LibraxisAI/whisper-large-v3-mlx-q8) |
| large-v3-turbo | ~900MB | [LibraxisAI/whisper-large-v3-turbo-mlx-q8](https://huggingface.co/LibraxisAI/whisper-large-v3-turbo-mlx-q8) |

## Usage

```python
import mlx_whisper

result = mlx_whisper.transcribe(
    "audio.wav",
    path_or_hf_repo="LibraxisAI/whisper-medium-mlx-q8"
)
print(result["text"])
```

## Hardware Requirements

- Apple Silicon Mac (M1/M2/M3/M4)
- Minimum 8GB RAM

## License

MIT - inherited from OpenAI Whisper.

---
*Converted by [LibraxisAI](https://huggingface.co/LibraxisAI) using mlx-whisper*