Unverified50% confidenceFactExact time
Whisper's tiny or base variants range from 39M to 74M parameters, and combined with INT8 quantization, the model size can be compressed to 1/4 of the original.
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50%
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Long-term
Relevance
9/9/2026
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Related Claims
UnverifiedAfter INT8 quantization, a model at the 0.9B scale can theoretically reduce its inference memory footprint to below approximately 1GB.71% similarUnverifiedint8量化将参数从16位压缩至8位，理论上减少约50%显存占用；int4将显存占用降低至原始的25%左右70% similarUnverifiedINT8 quantization maps 32-bit floating-point weights to 8-bit integers, compressing model size by 75% with almost no accuracy loss70% similarUnverifiedTiny-MoE模型总参数量约200M，但每个token激活的参数仅约90M68% similar
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