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 - **OmniLMM-12B**：相比同规模其他模型在多个基准测试中具有领先性能，实现了相比 GPT-4V 更低的幻觉率。
 
 
+## 更新日志 <!-- omit in toc -->
+
+* [2024.04.12] 我们开源了 <a href="https://huggingface.co/openbmb/MiniCPM-V-2/">MiniCPM-V-2.0</a>，在综合了 11 个主流多模态大模型评测基准的 <a href="https://rank.opencompass.org.cn/leaderboard-multimodal">OpenCompass</a> 榜单上超过了 Qwen-VL-Chat 9.6B、CogVLM-Chat 17.4B 和 Yi-VL 34B 等更大参数规模的模型！点击<a href="https://openbmb.vercel.app/minicpm-v-2">这里</a>查看 MiniCPM-V 2.0 技术博客
+
 
 ## 目录 <!-- omit in toc -->
+
 <!-- TOC -->
 
 - [MiniCPM-V 2.8B](#minicpm-v-28b)
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+## News <!-- omit in toc -->
+
+* [2024.04.12] We open-source <a href="https://huggingface.co/openbmb/MiniCPM-V-2/">MiniCPM-V-2.0</a>, which outperforms strong Qwen-VL-Chat 9.6B, CogVLM-Chat 17.4B, and Yi-VL 34B on <a href="https://rank.opencompass.org.cn/leaderboard-multimodal">OpenCompass</a>, a comprehensive evaluation over 11 popular benchmarks. Click <a href="https://openbmb.vercel.app/minicpm-v-2">here</a> to view the MiniCPM-V 2.0 technial blog.
 
 
 ## Contents <!-- omit in toc -->