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OpenMayhem
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  3. Whisper Large V3 Turbo

OpenAI

Audio model

Whisper Large V3 Turbo

A multilingual speech recognizer optimized for faster transcription.

Transcription
Use this model See capabilities

Input to output

Audio→Text
Languages
99 languages
Model size
809M
Capabilities
Transcription
License
MIT

Useful features

TranscriptionTranslationMultilingual audioLong-form speech

Capabilities

What you can use it for.

The most useful reasons to choose this model, without making you read through its repository first.

TranscriptionTranslationMultilingual audioLong-form speech
01

Meeting transcripts

02

Subtitles

03

Multilingual audio

For providers

Want to serve this model?

The provider requirements live here, separate from the information you need to choose and use the model.

Starting pointCPU · 8 GB RAM
Check your hardware in the fit calculator

4 GB accelerator memory

FP16 · whisper.cpp / Transformers

Conservative estimate

GPU acceleration is the practical provider path for throughput and long audio queues.

CPU + 8 GB RAM

FP32 / quantized · whisper.cpp

Model source

The official card supports CPU fallback; real-time throughput is not guaranteed.

Source and license

Check the original model.

OpenMayhem links back to the source repository so you can inspect the model card, files, license, limitations, and creator guidance directly.

Source repositoryopenai/whisper-large-v3-turboOpen model card

Keep exploring

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OpenMayhem

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OpenMayhem is built and operated by Trac Systems UG (haftungsbeschränkt). The software is open source and released under the MIT license; the OpenMayhem and Trac names and logos are trademarks of Trac Systems. The repository is the source of truth for everything described here.

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