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Home / Models / Whisper Small

Whisper Small

by OpenAI

7.8
KYI Score

Compact speech recognition for edge deployment and real-time applications.

AUDIOMITFREE244M
Official WebsiteHugging Face

Quick Facts

Model Size
244M
Context Length
N/A
Release Date
Sep 2022
License
MIT
Provider
OpenAI
KYI Score
7.8/10

Best For

→Real-time transcription
→Mobile apps
→Edge devices
→IoT

Performance Metrics

Speed

10/10

Quality

7/10

Cost Efficiency

10/10

Specifications

Parameters
244M
License
MIT
Pricing
free
Release Date
September 21, 2022
Category
audio

Key Features

Fast inferenceLow resource99 languagesEdge deployment

Pros & Cons

Pros

  • ✓Very fast
  • ✓Low resource
  • ✓MIT license
  • ✓Easy deployment

Cons

  • !Lower accuracy
  • !May struggle with difficult audio

Ideal Use Cases

Real-time transcription

Mobile apps

Edge devices

IoT

Whisper Small FAQ

What is Whisper Small best used for?

Whisper Small excels at Real-time transcription, Mobile apps, Edge devices. Very fast, making it ideal for production applications requiring audio capabilities.

How does Whisper Small compare to other models?

Whisper Small has a KYI score of 7.8/10, with 244M parameters. It offers very fast and low resource. Check our comparison pages for detailed benchmarks.

What are the system requirements for Whisper Small?

Whisper Small with 244M requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is variable.

Is Whisper Small free to use?

Yes, Whisper Small is free and licensed under MIT. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.

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