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DeepSpec

A full-stack codebase for training and evaluating speculative decoding

DeepSpec is a full-stack codebase for training and evaluating draft models used in speculative decoding. It provides the components needed to prepare data, train draft models, and measure acceptance behavior against target models. The workflow starts with data preparation, including prompt download, target answer regeneration, and target cache construction. It then trains a draft model using configuration files for different algorithms and target model setups. The evaluation pipeline...

Downloads: 1 This Week

Last Update: 2026-07-09
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