---
license: mit
pipeline_tag: automatic-speech-recognition
language:
  - en
  - zh
  - de
  - es
  - ru
  - ko
  - fr
  - ja
  - pt
  - tr
  - pl
  - ca
  - nl
  - ar
  - sv
  - it
  - id
  - hi
  - fi
  - vi
  - he
  - uk
  - el
  - ms
  - cs
  - ro
  - da
  - hu
  - ta
  - "no"
  - th
  - ur
  - hr
  - bg
  - lt
  - la
  - mi
  - ml
  - cy
  - sk
  - te
  - fa
  - lv
  - bn
  - sr
  - az
  - sl
  - kn
  - et
  - mk
  - br
  - eu
  - is
  - hy
  - ne
  - mn
  - bs
  - kk
  - sq
  - sw
  - gl
  - mr
  - pa
  - si
  - km
  - sn
  - yo
  - so
  - af
  - oc
  - ka
  - be
  - tg
  - sd
  - gu
  - am
  - yi
  - lo
  - uz
  - fo
  - ht
  - ps
  - tk
  - nn
  - mt
  - sa
  - lb
  - my
  - bo
  - tl
  - mg
  - as
  - tt
  - haw
  - ln
  - ha
  - ba
  - jw
  - su
tags:
  - executorch
  - metal
  - asr
  - speech-to-text
  - whisper
base_model: openai/whisper-small
---

# Whisper Small — ExecuTorch Export

This repository contains an ExecuTorch `.pte` export of the OpenAI Whisper model [`openai/whisper-small`](https://huggingface.co/openai/whisper-small) for:

- **Metal** (macOS): **bf16**

## Artifacts

| File | Description |
|---|---|
| `model.pte` | ExecuTorch program (main model) |
| `whisper_preprocessor.pte` | ExecuTorch program (audio preprocessor / mel spectrogram) |
| `tokenizer.json` | Tokenizer |
| `tokenizer_config.json` | Tokenizer configuration |
| `special_tokens_map.json` | Special tokens mapping |

## Model Details

- **Base Model**: [`openai/whisper-small`](https://huggingface.co/openai/whisper-small)
- **Backend**: Metal (MPS)
- **Precision**: bf16
- **Parameters**: 244M
- **Languages**: Multilingual (99 languages)

## How to Run (ExecuTorch)

Build the Whisper runner from an ExecuTorch checkout:

```bash
EXECUTORCH_BUILD_KERNELS_TORCHAO=1 TORCHAO_BUILD_EXPERIMENTAL_MPS=1 ./install_executorch.sh
make whisper-metal
```

Then run inference:

### Metal (macOS)

```bash
./cmake-out/examples/models/whisper/whisper_runner \
  --model_path /path/to/model.pte \
  --preprocessor_path /path/to/whisper_preprocessor.pte \
  --audio_path /path/to/audio.wav \
  --tokenizer_path /path/to/tokenizer.json
```


## Verification

The model was verified to transcribe test audio correctly and match the original PyTorch model output.

## License / Attribution

- Upstream model license: **MIT** (see [`openai/whisper-small`](https://huggingface.co/openai/whisper-small)).
- Please attribute OpenAI when using these exported artifacts.