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<div align="center">
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<h1>
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MiniCPM
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MiniCPM: Unveiling the Potential of End-side Large Language Models
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</h1>
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</div>
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<a href="https://shengdinghu.notion.site/MiniCPM-c805a17c5c8046398914e47f0542095a" target="_blank">Technical Report</a> |
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<a href="https://github.com/OpenBMB/OmniLMM/" target="_blank">Multi-modal Model OmniLMM</a> |
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<a href="https://luca.cn/" target="_blank">CPM-C 100B Model Trial</a> |
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<a href="https://discord.gg/3cGQn9b3YM" target="_blank">Welcome to our community</a>
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Join our <a href="https://discord.gg/3cGQn9b3YM" target="_blank">discord</a> and <a href="https://github.com/OpenBMB/MiniCPM/blob/main/assets/wechat.jpg" target="_blank">wechat</a>
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</p>
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MiniCPM is an End-Side LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings.
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</h1>
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</div>
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<h4 align="center">
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<p>
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<b>English</b> | <a href="https://github.com/OpenBMB/MiniCPM/blob/main/README-en.md">English</a>
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<p>
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</h4>
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<p align="center">
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<a href="https://shengdinghu.notion.site/MiniCPM-c805a17c5c8046398914e47f0542095a" target="_blank">MiniCPM 技术报告</a> |
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<a href="https://github.com/OpenBMB/OmniLMM/" target="_blank">OmniLMM 多模态模型</a> |
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<a href="https://luca.cn/" target="_blank">CPM-C 千亿模型试用</a> |
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<a href="https://discord.gg/3cGQn9b3YM" target="_blank">加入我们的社区</a>
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加入我们的 <a href="https://discord.gg/3cGQn9b3YM" target="_blank">discord</a> 和 <a href="https://github.com/OpenBMB/MiniCPM/blob/main/assets/wechat.jpg" target="_blank">wechat</a>
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</p>
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