AgentCPM Report Tutorial

AgentCPM-Report, a Localization, privatized, yet with SOTA performance in-depth research agent. It was jointly developed by the Natural Language Processing Laboratory of Tsinghua University, Renmin University of China, Mianbi Intelligence, and the OpenBMB Open Source Community. We have centered on the edge-side model to achieve report writing capabilities comparable to top-tier closed-source systems . This means that you can have an expert-level research assistant locally without the need for expensive computing clusters or uploading any information over the network. Highlights of AgentCPM-Report are as follows: ✅ Ultimate Efficiency, Achieving More with Less:Through an average of 40 rounds of in-depth retrieval and nearly 100 rounds of thought chain deduction, it enables comprehensive exploration and reorganization of information, allowing edge-side models to generate long, well-structured, and insightful articles of 10,000 words. In in-depth research tasks, it achieves performance parity with top-tier closed-source systems using a parameter scale of 8B. ✅ Physical Isolation, Local Security:Designed specifically for high-privacy scenarios, it supports fully offline Localization agile deployment, completely eliminating the risk of data leakage in the cloud. Based on our UltraRAG framework, it can efficiently mount and understand your local private Knowledge Base, enabling core confidential data to be securely transformed into highly valuable professional decision-making reports without leaving the domain. 👉 UltraRAG Framework Open Source Address: https://github.com/OpenBMB/UltraRAG AgentCPM-Report Open Source Address ⬇️ GitHub：https://github.com/OpenBMB/AgentCPM Huggingface：https://huggingface.co/openbmb/AgentCPM-Report ModelScope：https://modelscope.cn/models/OpenBMB/AgentCPM-Report GitCode：https://gitcode.com/OpenBMB/AgentCPM Modelers Community：https://modelers.cn/models/OpenBMB/AgentCPM-Report