# Whisper Turbo Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/whisper-turbo
> Markdown URL: https://aitinkerers.org/technologies/whisper-turbo.md
> Technology record last updated: 2026-03-10T16:30:36Z
> Generated: 2026-09-21T09:48:35Z

Whisper Turbo is the high-speed, pruned variant of OpenAI's Whisper ASR model, engineered for up to 8x faster transcription inference with minimal accuracy impact.

This is Whisper Large-v3-Turbo: a distilled, high-efficiency model for Automatic Speech Recognition (ASR). We pruned the original Whisper Large-v3 architecture, specifically reducing the decoder layers from 32 to just 4. This optimization delivers a massive speed boost—up to an 8x increase in inference time—making it ideal for production environments demanding rapid, high-volume transcription. The model maintains strong multilingual ASR performance, trading a negligible amount of accuracy for a significant gain in operational speed and on-device deployment capability (e.g., requiring only 1.6 GB in float16 precision).

- Official technology site: https://huggingface.co/openai/whisper-large-v3-turbo
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [AutoGrading Student Answers using](https://dubai.aitinkerers.org/talks/rsvp_nZAAyR1_6s0)

I implemented a full scale autograding solution for written and spoken answers for 1million userbasr 25k concurrent users. We used whisper and llama. On different providers to meet the scale.

- Event context: AI Tinkerers Dubai Meetup — August 2025 Demo Day — 2025-08-23 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp_nZAAyR1_6s0

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