Unverified50% confidenceFactExact time
The speed of local inference is mainly determined by four variables: model parameter count, quantization precision, hardware compute power, and batch size.
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50%
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Long-term
Relevance
10/14/2026
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UnverifiedThe accuracy of local models is generally proportional to model size; larger models require more computing resources, and users need to balance speed and accuracy based on their hardware conditions.79% 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.75% similarUnverifiedTotal parameter count reflects the upper limit of a model's knowledge capacity and expressive power, while activated parameter count determines the computational cost and latency during inference.74% similarUnverifiedWhen selecting a local model, looking at activated parameters is more reflective of actual speed performance than looking at total parameters.73% similarUnverified本地推理并不等同于更强的模型能力，模型选择、内存占用、生成速度都受机器性能直接制约73% similar
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