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Whisper Tiny

by OpenAI

7.2
KYI Score

Ultra-compact speech recognition for extreme edge deployment.

AUDIOMITFREE39M
Official WebsiteHugging Face

Quick Facts

Model Size
39M
Context Length
N/A
Release Date
Sep 2022
License
MIT
Provider
OpenAI
KYI Score
7.2/10

Best For

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

Performance Metrics

Speed

10/10

Quality

6/10

Cost Efficiency

10/10

Specifications

Parameters
39M
License
MIT
Pricing
free
Release Date
September 21, 2022
Category
audio

Key Features

Ultra-fastTiny sizeEdge deployment99 languages

Pros & Cons

Pros

  • ✓Extremely fast
  • ✓Tiny footprint
  • ✓MIT license
  • ✓Easy deployment

Cons

  • !Lower accuracy
  • !May struggle with difficult audio
  • !Limited capabilities

Ideal Use Cases

IoT devices

Mobile apps

Real-time transcription

Edge

Whisper Tiny FAQ

What is Whisper Tiny best used for?

Whisper Tiny excels at IoT devices, Mobile apps, Real-time transcription. Extremely fast, making it ideal for production applications requiring audio capabilities.

How does Whisper Tiny compare to other models?

Whisper Tiny has a KYI score of 7.2/10, with 39M parameters. It offers extremely fast and tiny footprint. Check our comparison pages for detailed benchmarks.

What are the system requirements for Whisper Tiny?

Whisper Tiny with 39M 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 Tiny free to use?

Yes, Whisper Tiny 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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