OpenAI / SPEECH RECOGNITION
whisper-tiny
A tiny multilingual Whisper checkpoint for automatic speech recognition and speech translation.
Source reviewed 2026-10-24 · AiBrainWorX editorial summary
- Creator
- OpenAI
- Parameters
- 39M
- Context
- Task-specific; see the reviewed source and runtime
- License
- apache-2.0
01 / CAPABILITIES
What it is built for
- Speech-to-text
- External task-specific runtime; not integrated into launcher chat
Inputs: Audio → text
Runtime limits and on-device memory must be validated separately.
02 / ON YOUR MACHINE
Very small model / edge candidate; runtime validation required
Needs an audio preprocessing/decoder pipeline. CPU and mobile implementations use different artifacts and have separate validation requirements.
External task-specific runtime; not integrated into launcher chat
Runtime and training workflow
Transformers Whisper · Compatible whisper.cpp / mobile conversion
External ASR fine-tuning. Training suitability requires exact checkpoint format and prepared data; a catalog entry is not a completed training test.
03 / WHAT IS VERIFIED
Evidence, with context
Source reviewed only. No local model or Android inference test performed.
We have not added a benchmark number without documenting its test conditions. A model-card capability is not a measured speed or quality guarantee on your hardware.
04 / OWNERSHIP & USE
apache-2.0
Review the exact checkpoint, voice assets and applicable upstream notices; model references do not grant new rights.
AiBrainWorX authors this profile and the launcher. OpenAI remains the model’s creator. Models are not rebranded as our own weights.
05 / GO DEEPER
Original sources & model files
This page is our concise summary, not a mirror of the full upstream card. Review the original documentation and exact artifact before downloading.
Reviewed revision: 169d4a4341b3 · Specifications may change after the review date.
THE CURIOUS SIDE OF AI