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--- |
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license: mit |
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quantized_by: Pomni |
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language: |
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- en |
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base_model: |
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- distil-whisper/distil-small.en |
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pipeline_tag: automatic-speech-recognition |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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- facebook/voxpopuli |
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- LIUM/tedlium |
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- MLCommons/peoples_speech |
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- speechcolab/gigaspeech |
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- edinburghcstr/ami |
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tags: |
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- whisper.cpp |
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- ggml |
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- whisper |
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- audio |
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- speech |
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- voice |
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- distil |
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--- |
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# Distil-Small.en quants |
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This is a repository of **GGML quants for [distil-small.en](https://huggingface.co/distil-whisper/distil-small.en)** (a Whisper-based transcription model), for use with [whisper.cpp](https://github.com/ggml-org/whisper.cpp). |
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If you are looking for a program to run this model with, then I would recommend [EasyWhisper UI](https://github.com/mehtabmahir/easy-whisper-ui), as it is user-friendly, has a GUI, and automates a lot of the hard stuff for you. |
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## List of Quants |
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The current quants listed below point to the official ones in the original repository. quants will appear as I finish creating them. Clicking on a link will download the corresponding quant instantly. |
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| Link | Quant | Size | Notes |
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|:-----|:-----|--------:|:------| |
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| [GGML](https://huggingface.co/distil-whisper/distil-small.en/resolve/main/ggml-distil-small.en.fp32.bin) | F32 | 665 MB | Likely overkill. | |
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| [GGML](https://huggingface.co/distil-whisper/distil-small.en/resolve/main/ggml-distil-small.en.bin) | F16 | 336 MB | Performs better than Q8_0 for noisy audio and music. | |
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The F32 quant was taken from [distil-whisper/distil-small.en/ggml-distil-small.en.fp32.bin](https://huggingface.co/distil-whisper/distil-small.en/blob/main/ggml-distil-small.en.fp32.bin), and the F16 quant was taken from [distil-whisper/distil-small.en/ggml-distil-small.en.bin](https://huggingface.co/distil-whisper/distil-small.en/blob/main/ggml-distil-small.en.bin). |
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## Questions you may have |
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### Why do the "K-quants" not work for me? |
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My guess is that your GPU might be too old to recognize them, considering that I have gotten the same error on my GTX 1080. If you would like to run them regardless, you can try switching to CPU inference. |
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### Are the K-quants "S", "M", or "L"? |
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The quantizer I was using was not specific about this, so I do not know about this either. |
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### What program did you use to make these quants? |
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I used [whisper.cpp v1.7.6](https://github.com/ggml-org/whisper.cpp/releases/tag/v1.7.6) on Windows x64, leveraging CUDA 12.4.0. |
