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title: README
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# Distil-Whisper

[[Paper]](https://arxiv.org/abs/2311.00430)
[[Models]](https://huggingface.co/collections/distil-whisper/distil-whisper-models-65411987e6727569748d2eb6)
[[Colab]](https://colab.research.google.com/github/sanchit-gandhi/notebooks/blob/main/Distil_Whisper_Benchmark.ipynb)
[[Training Code]](https://github.com/huggingface/distil-whisper)

Distil-Whisper is a distilled version of Whisper that is **6 times faster**, 49% smaller, and performs **within 1% word 
error rate (WER)** on out-of-distribution evaluation sets:

| Model                                                                      | Params / M | Rel. Latency ↑ | Short-Form WER ↓ | Long-Form WER ↓ |
|----------------------------------------------------------------------------|------------|----------------|------------------|-----------------|
| [large-v3](https://huggingface.co/openai/whisper-large-v3)                 | 1550       | 1.0            | **8.4**          | 11.0            |
|                                                                            |            |                |                  |                 |
| [distil-large-v3](https://huggingface.co/distil-whisper/distil-large-v3)   | 756        | 6.3            | 9.7              | **10.8**        |
| [distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2)   | 756        | 5.8            | 10.1             | 11.6            |
| [distil-medium.en](https://huggingface.co/distil-whisper/distil-medium.en) | 394        | **6.8**        | 11.1             | 12.4            |
| [distil-small.en](https://huggingface.co/distil-whisper/distil-small.en)   | **166**    | 5.6            | 12.1             | 12.8            |

For most applications, we recommend the latest [distil-large-v3](https://huggingface.co/distil-whisper/distil-large-v3) checkpoint,
since it is the most performant distilled checkpoint and compatible across all Whisper libraries. The only exception is 
resource-constrained applications with very little memory, such as on-device or mobile applications, where the 
[distil-small.en](https://huggingface.co/distil-whisper/distil-small.en) is a great choice, since it is only 166M 
parameters and performs within 4% WER of Whisper large-v3.

**Note:** Distil-Whisper is currently only available for English speech recognition. We are working with the community to distill Whisper on other languages. If you are interested in distilling Whisper in your language, check out the provided [training code](training). We will soon update the repository with multilingual checkpoints when ready!