MiniCPM5 (1B / 2B)
🏆 我的角色：智能体能力负责人
690 万+ 下载量
MiniCPM5 是面向端侧部署与资源受限场景的开源大模型系列，原生支持 128K 长上下文并兼容主流推理引擎。我负责该系列模型智能体能力的整体构建：工具调用与多轮交互数据的构造、智能体强化学习训练以及评测体系搭建。
核心成果：
- 🥇 2B 模型在 BFCL v4、τ²-Bench、SWE-bench Verified、GAIA 等智能体基准上取得同尺寸领先水平，综合平均分超过更大尺寸的 Qwen3.5-4B
- 📦 MiniCPM5-1B 与 MiniCPM5-2B（含 GGUF / MLX 版本）在 Hugging Face 的累计下载量各约 345 万次，合计超过 690 万次
- 🔌 提供 OpenAI 兼容的工具调用解析器与面向编码智能体的 Agent Skills
Authors
Haotian Chen
(he/him)
Research Assistant Professor · LLM Post-Training / AI4AI
I am a Research Assistant Professor at the School of Artificial Intelligence, Shanghai Jiao Tong University, where I work with Prof. Junchi Yan at RethinkLab. I study how to build AI systems that can automate long-horizon, effort-intensive, and creativity-demanding tasks such as research, engineering, and development. My current work focuses on LLM post-training for autonomous agents, agent memory and continual learning, and AI4Research / AI4AI. Before joining SJTU, I received my PhD in Data Science from Fudan University, advised by Prof. Xiangdong Zhou, and completed postdoctoral research at Tsinghua University (THUNLP), working with Prof. Zhiyuan Liu and Prof. Maosong Sun. I was also a research intern at the Machine Learning Research Group of Microsoft Research Asia, mentored by Xiao Yang, and at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, working with Prof. Yang Yu.