4 GB accelerator memory
FP16 · whisper.cpp / Transformers
GPU acceleration is the practical provider path for throughput and long audio queues.
OpenAI
Audio model
A multilingual speech recognizer optimized for faster transcription.
Capabilities
The most useful reasons to choose this model, without making you read through its repository first.
Meeting transcripts
Subtitles
Multilingual audio
For providers
The provider requirements live here, separate from the information you need to choose and use the model.
4 GB accelerator memory
FP16 · whisper.cpp / Transformers
GPU acceleration is the practical provider path for throughput and long audio queues.
CPU + 8 GB RAM
FP32 / quantized · whisper.cpp
The official card supports CPU fallback; real-time throughput is not guaranteed.
Source and license
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