CASE EVIDENCE / A RECORD
OpenDILab 公开的文档理解与处理案例，来源为 公开代码库，复核于 2026-06-26T18:22:09.049999+00:00。
原始记录：CleanS2S: DeepSeek-V2.5 as LLM Backend for Streaming Speech-to-Speech Agent
Chinese Brief
OpenDILab 公开的文档理解与处理案例，来源为 公开代码库，复核于 2026-06-26T18:22:09.049999+00:00。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。 Model Atlas 不把 benchmark、教程、发布说明或集合页包装成真实案例。
任务
这是一个围绕文档理解和结构化处理的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：OpenDILab's CleanS2S project is a high-quality streaming speech-to-speech interactive agent implemented in a single file. DeepSeek-V2.5 is specifically recommended and documented as the default local LLM option for the …
公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：A fully functional speech-to-speech agent (536 stars) that processes real-time voice input, routes through an LLM for conversation, and generates voice output with prosody transfer. The project supports both API-based a…
DeepSeek-V2.5 (Dec) 在该案例中承担文档理解和结构化处理相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek-V2.5 is the specifically recommended and documented local LLM option for the speech agent's conversational intelligence. The README provides explicit instructions for running V2.5 locally as the LLM backbone, i…
当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：CleanS2S supports multiple LLM backends; V2.5 is the recommended option, not the only one. The project is from OpenDILab (536 stars), a credible AI research organization. V2.5's role is as the conversational reasoning e…