deepseek-ai/DeepSpec

项目解读

DeepSpec: a full-stack codebase for training and evaluating speculative decoding algorithms。 README 重点章节包括：DeepSpec、Environment、Workflow、Data Preparation、Training。

README / GitHub 亮点

• GitHub 描述：DeepSpec: a full-stack codebase for training and evaluating speculative decoding algorithms。
• Install the Python dependencies:。
• Data preparation additionally requires an inference engine to serve the target model when regenerating answers; see scripts/data/README.md for details.
• Run the stages in order — each stage's output feeds the next:。

适用场景

适合评估 AI 应用、智能体工作流、模型工具链、RAG/提示词工程或 AI 辅助开发场景。

采用前核查

采用前仍需核查许可证、维护节奏、issue 质量、release 记录和生产适配成本。

README 摘要

DeepSpec is a full-stack codebase for training and evaluating draft models for speculative decoding. It contains data preparation utilities, draft model implementations, training code, and evaluation scripts. Install the Python dependencies: Data preparation additionally requires an inference engine to serve the target model when regenerating answers; see scripts/data/README.md for details. Run the stages in order — each stage's output feeds the next: 1. Data Preparation — download prompts, regenerate target ans…