Unverified50% confidenceFactExact time
In heterogeneous inference, the draft model and target model should ideally use similar quantization strategies, otherwise the shift between the draft distribution and the target distribution will lower the acceptance rate.
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10/17/2026
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Related Claims
UnverifiedSpeculative sampling uses a cheap draft model to generate multiple candidate states in parallel, which are then verified in parallel by the target model, reducing the number of target model calls while keeping the target distribution unchanged.79% similarUnverifiedIt is recommended to first conduct small-scale validation with real prompts on the target model to quantify the capability gap, before deciding whether to fully replace or adopt a hybrid approach.79% similarUnverified作者采用分阶段模型配比策略：方案设计阶段用能力更强的模型，后期代码编写阶段切换到成本更低的模型（约30%场景可用低配模型）76% similarUnverifiedInductive bias refers to assumptions about the structure of the target problem that are pre-embedded during the model design stage, which can narrow the hypothesis space and improve sample efficiency.76% similarUnverifiedMethods for improving the draft acceptance rate include using early checkpoints of the main model as the draft model, fine-tuning the draft model on domain-specific data, and using a stronger small model as the draft model.74% similar
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