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IQuest-Q1：推进智能体CLI系统基础能力的研究
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
AI 导读
研究团队发布IQuest-Q1，一个320亿总参数(激活15B)的稀疏MoE智能体基础模型。该模型通过三阶段训练过程开发：稳定高效的预训练、细粒度中期训练和多版本多支架后训练，模型合并不同专家和检查点以缓解冲突。IQuest-Q1在编码和通用任务中展现能力，研究团队将其开源以支持社区研发。
来源：HuggingFace Daily Papers · arxiv.org