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---
license: apache-2.0
license_link: LICENSE
tags:
- llamafile
---
# OpenAI Whisper - llamafile
Whisperfile is a high-performance implementation of [OpenAI's
Whisper](https://github.com/openai/whisper) created by Mozilla Ocho as
part of the [llamafile](https://github.com/Mozilla-Ocho/llamafile)
project, based on the
[whisper.cpp](https://github.com/ggerganov/whisper.cpp) software written
by Georgi Gerganov, et al.
- Model creator: [OpenAI](https://huggingface.co/collections/openai/whisper-release-6501bba2cf999715fd953013)
- Original models: [openai/whisper-release](https://huggingface.co/collections/openai/whisper-release-6501bba2cf999715fd953013)
- Origin of quantized weights: [ggerganov/whisper.cpp](https://huggingface.co/ggerganov/whisper.cpp)
The model is packaged into executable weights, which we call
[whisperfiles](https://github.com/Mozilla-Ocho/llamafile/blob/0.8.13/whisper.cpp/doc/index.md).
This makes it easy to use the model on Linux, MacOS, Windows, FreeBSD,
OpenBSD, and NetBSD for AMD64 and ARM64.
## Quickstart
Running the following on a desktop OS will transcribe the speech of a
wav/mp3/ogg/flac file into text. The `-pc` flag enables confidence color
coding.
```
wget https://huggingface.co/Mozilla/whisperfile/resolve/main/whisper-tiny.en.llamafile
wget https://huggingface.co/Mozilla/whisperfile/resolve/main/raven_poe_64kb.mp3
chmod +x whisper-tiny.en.llamafile
./whisper-tiny.en.llamafile -f raven_poe_64kb.mp3 -pc
```
There's also an HTTP server available:
```
./whisper-tiny.en.llamafile
```
You can also read the man page:
```
./whisper-tiny.en.llamafile --help
```
Having **trouble?** See the ["Gotchas"
section](https://github.com/mozilla-ocho/llamafile/?tab=readme-ov-file#gotchas-and-troubleshooting)
of the llamafile README.
## Documentation
See the [whisperfile
documentation](https://github.com/Mozilla-Ocho/llamafile/blob/6287b60/whisper.cpp/doc/index.md)
for tutorials and further details.
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