Whisper Large V2
OpenAI's Whisper Large V 2 is a pre-trained, open-source model for automatic speech recognition and speech translation, trained on 680k hours of labelled data. It is genuinely best at generalizing to various datasets and domains without requiring fine-tuning, demonstrating a strong ability to recognize speech and translate it into different languages.
Input
Output
Context
-
Max Output
-
Parameters
1.5B
Technical Specifications
Model TypeAudio
Context WindowNot available
Max Output TokensNot available
Parameters1.5B
Release DateDec 5, 2022
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Audio
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Whisper Large V2
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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