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IQuest-Q1：面向 Agentic CLI 系统的基础能力升级
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
AI 导读
IQuest-Q1 是一款稀疏 MoE 智能体基础模型，总参数 320B、激活 15B，已开源。它通过三阶段流程构建：结合 Stable SplitNorm、Muon 与 muP 的高效预训练、跨域细粒度 mid-training，以及融合 SFT、领域专用 RL 和 MOPD 的多 scaffold 后训练，并用模型合并缓解参数更新冲突，在编码和通用任务上均有表现。