Whisper Small.en
OpenAI's Whisper Small.en is a pre-trained, open-source model for automatic speech recognition (ASR) and speech translation, demonstrating a strong ability to generalize to various datasets and domains without fine-tuning. It is a Transformer-based encoder-decoder model trained on 680k hours of labelled speech data, utilizing large-scale weak supervision.
Input
Output
Context
-
Max Output
0K
Parameters
241.7M
Technical Specifications
Model TypeAudio
Context WindowNot available
Max Output Tokens200 tokens
Parameters241.7M
Release DateSep 26, 2022
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Audio
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Whisper Small.en
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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