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## Whisper model files in custom ggml format
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The [original Whisper PyTorch models provided by OpenAI](https://github.com/openai/whisper/blob/main/whisper/__init__.py#L17-L27)
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have been converted to custom `ggml` format in order to be able to load them in C/C++. The conversion has been performed using the
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[convert-pt-to-ggml.py](convert-pt-to-ggml.py) script. You can either obtain the original models and generate the `ggml` files
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yourself using the conversion script, or you can use the [download-ggml-model.sh](download-ggml-model.sh) script to download the
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already converted models from https://ggml.ggerganov.com
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Sample usage:
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```java
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$ ./download-ggml-model.sh base.en
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Downloading ggml model base.en ...
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models/ggml-base.en.bin 100%[=============================================>] 141.11M 5.41MB/s in 22s
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Done! Model 'base.en' saved in 'models/ggml-base.en.bin'
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You can now use it like this:
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$ ./main -m models/ggml-base.en.bin -f samples/jfk.wav
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```
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A third option to obtain the model files is to download them from Hugging Face:
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https://huggingface.co/datasets/ggerganov/whisper.cpp/tree/main
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## Available models
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| Model | Disk | Mem | SHA |
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| --- | --- | --- | --- |
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| tiny | 75 MB | ~390 MB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
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| tiny.en | 75 MB | ~390 MB | `c78c86eb1a8faa21b369bcd33207cc90d64ae9df` |
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| base | 142 MB | ~500 MB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
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| base.en | 142 MB | ~500 MB | `137c40403d78fd54d454da0f9bd998f78703390c` |
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| small | 466 MB | ~1.0 GB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
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| small.en | 466 MB | ~1.0 GB | `db8a495a91d927739e50b3fc1cc4c6b8f6c2d022` |
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| medium | 1.5 GB | ~2.6 GB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
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| medium.en | 1.5 GB | ~2.6 GB | `8c30f0e44ce9560643ebd10bbe50cd20eafd3723` |
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| large | 2.9 GB | ~4.7 GB | `b1caaf735c4cc1429223d5a74f0f4d0b9b59a299` |
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## Model files for testing purposes
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The model files pefixed with `for-tests-` are empty (i.e. do not contain any weights) and are used by the CI for testing purposes.
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They are directly included in this repository for convenience and the Github Actions CI uses them to run various sanitizer tests.
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