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Source channel @githubtrending · Post #14819 · Jun 11

#jupyter_notebook MiniCPM is a family of highly efficient, open-source AI models designed to run well even on regular computers or mobile devices, not just powerful servers. The latest version, MiniCPM 4, is especially fast and smart, handling long texts and complex tasks much quicker than similar models, and it can be used for things like answering questions, writing summaries, and working with tools or data. MiniCPM also supports both English and Chinese, making it useful for bilingual users. The main benefit is that you get strong AI performance without needing expensive hardware, so it’s easy to use for many different applications[1][5]. https://github.com/OpenBMB/MiniCPM

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@githubtrending · Post #15271 · 11/05/2025, 12:30 PM

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#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite

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