From 78cbb6590aab9bd47b2f8095ee6a8035634d3dbe Mon Sep 17 00:00:00 2001
From: yiranyyu <2606375857@qq.com>
Date: Thu, 18 Apr 2024 22:58:50 +0800
Subject: [PATCH] update reademe

---
 README.md    | 2 ++
 README_en.md | 2 ++
 2 files changed, 4 insertions(+)

diff --git a/README.md b/README.md
index 8716704..a193e22 100644
--- a/README.md
+++ b/README.md
@@ -27,6 +27,8 @@
 
 ## 更新日志 <!-- omit in toc -->
 
+* [2024.04.17] MiniCPM-V-2.0 现在支持用户部署本地 [WebUI Demo](#webui-demo) 了!
+* [2024.04.15] MiniCPM-V-2.0 现在也支持 SWIFT 框架下的 [微调](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v-2最佳实践.md) 了!
 * [2024.04.12] 我们开源了 MiniCPM-V 2.0，该模型刷新了 OCRBench 开源模型最佳成绩，在场景文字识别能力上比肩 Gemini Pro，同时还在综合了 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 10B、CogVLM-Chat 17B 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。
 * [2024.03.14] MiniCPM-V 现在支持 SWIFT 框架下的[微调](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v最佳实践.md)了，感谢 [Jintao](https://github.com/Jintao-Huang) 的贡献！
 * [2024.03.01] MiniCPM-V 现在支持在 Mac 电脑上进行部署！
diff --git a/README_en.md b/README_en.md
index 135e2bb..c4f8ecd 100644
--- a/README_en.md
+++ b/README_en.md
@@ -25,6 +25,8 @@
 
 ## News <!-- omit in toc -->
 
+* [2024.04.17] MiniCPM-V-2.0 supports deploying [WebUI Demo](#webui-demo) now!
+* [2024.04.15] MiniCPM-V-2.0 now also supports [fine-tuning](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v-2最佳实践.md) with the SWIFT framework!
 * [2024.04.12] We open-source MiniCPM-V-2.0, which achieves comparable performance with Gemini Pro in understanding scene text and outperforms strong Qwen-VL-Chat 9.6B 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 technical blog.
 * [2024.03.14] MiniCPM-V now supports [fine-tuning](https://github.com/modelscope/swift/blob/main/docs/source/Multi-Modal/minicpm-v最佳实践.md) with the SWIFT framework. Thanks to [Jintao](https://github.com/Jintao-Huang) for the contribution！
 * [2024.03.01] MiniCPM-V now can be deployed on Mac!