Hugging Face Daily Papers·· 2d agoFeaturedAI Score65
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
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Published on Oct 22 Authors: , , , , , , , , , , , , , , , , , , , , Abstract IQuest-Q1 is a sparse Mixture-of-Experts foundation model trained via multi-stage pre-training, mid-training, and post-training to achieve strong agentic coding and general capabilities. We present...
Curator's Note
IQuest-Q1 是一个具有 320B 参数的 MoE 基础模型，展示了强大的编码和通用能力，读者可以了解其训练过程和开源信息。
Primary Source
Academic Paper·arXiv:2610.30949
IQuest-Q1 (arXiv:2610.30949)
“Published on Oct 22 Authors: , , , , , , , , , , , , , , , , , , , , Abstract IQuest-Q1 is a sparse Mixture-of-Experts foundation model trai”
Source: Hugging Face Daily Papers · huggingface.co
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