README.md

---
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 file into colorful text.

```
wget https://huggingface.co./Mozilla/whisperfile/resolve/main/whisper-tiny.en.llamafile
wget https://huggingface.co./Mozilla/whisperfile/resolve/main/raven_poe_64kb.wav
chmod +x whisper-tiny.en.llamafile
./whisper-tiny.en.llamafile -f raven_poe_64kb.wav -pc
```

![screenshot](screenshot.png)

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)
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.