开发者 @Daryl_wanji 基于 MiniCPM4-0.5B 与 MiniCPM4-8B 打造了 6ixPulse,一个面向多伦多租客的智能体住房情报地图,通过本地运行的模型汇总住房、交通、社区与生活方式等多个 Agent 的洞察。该项目将 Agent 工作流与本地模型结合,把分散数据转化为个性化社区分析,帮助用户更明智地决定住在哪里。
Finding the right neighborhood means looking beyond rent — from commute and safety to lifestyle and community.
Developer @Daryl_wanji built 6ixPulse, an agentic Toronto housing intelligence map that helps renters explore neighborhoods through AI-powered research.
Powered by MiniCPM, 6ixPulse uses:
📚 MiniCPM4-0.5B / MiniCPM4-8B — running locally to summarize insights from multiple Agents across housing, transportation, community, and lifestyle.
By combining Agent workflows with local models, 6ixPulse turns scattered data into personalized neighborhood insights, helping users make smarter decisions about where to live.
🔗 Project:
https://t.co/Sh3SlzLvhp
🤗 Models:
MiniCPM4-0.5B: https://t.co/FkG1AQqs7t
MiniCPM4-8B: https://t.co/tikuUBVDb3
来源:@OpenBMB · x.com