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Applying a simple post-training, Dynamic Quantization process included with PyTorch to OpenAI Whisper provides great speedups for CPU based deployment. This is of particular interest for people running OpenAI Whisper models on laptops which lack hardware acceleration. Anecdotal results show that accuracy for the smaller models is the same, if not slightly higher after quantization but is very slightly reduced for the larger (medium+) models.
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