OpenAI's Whisper Tiny.en is a pre-trained, open-source audio model for automatic speech recognition, utilizing a Transformer-based encoder-decoder architecture. It is genuinely best at generalizing to various datasets and domains without requiring fine-tuning, having been trained on 680k hours of labelled data.
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37.8M
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Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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