Unverified90% confidenceFactTime unknown
Whisper Turbo模型是在large-v3基础上通过知识蒸馏技术优化而来，将解码器从32层压缩到4层，推理速度提升约8倍
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90%
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Long-term
Relevance
6/1/2026
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UnverifiedTurbo version models are typically based on techniques such as consistency distillation or flow matching, compressing the tens of denoising inference steps of standard diffusion models to 4 to 8 steps or even fewer78% similarUnverifiedConsistency models attempt to compress the multi-step denoising process of diffusion models into 1–4 steps, theoretically capable of improving inference speed by 10–50 times.72% similarUnverifiedModel quantization (compressing floating-point weights to INT8/INT4) and knowledge distillation are the two most commonly used technical approaches for achieving a balance between speed and accuracy.69% similarUnverifiedSpeculative decoding technology, in which a local small model drafts answers and a large model verifies them, can improve overall throughput speed by 2 to 4 times without degrading quality.65% similar
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