From 00e8d4ac33a9da50c0200a5ed2a2537c54e899eb Mon Sep 17 00:00:00 2001
From: Hongji Zhu <fireyoucan@gmail.com>
Date: Mon, 20 May 2024 18:36:52 +0800
Subject: [PATCH] Update README_en.md

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 README_en.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README_en.md b/README_en.md
index 7e7cbf6..131e50d 100644
--- a/README_en.md
+++ b/README_en.md
@@ -456,10 +456,10 @@ pip install -r requirements.txt
 ### Model Zoo
 | Model                | Description       | Download Link |
 |:----------------------|:-------------------|:---------------:|
-| MiniCPM-Llama3-V 2.5  | The lastest version, achieving state-of-the edge-side multimodal performance.   |  [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5/files) |
-| MiniCPM-Llama3-V 2.5 int4  | int4 quantized version，lower GPU memory usage. |  [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-int4/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4/files) |
-| MiniCPM-V 2.0  | Light version, balance the performance the computation cost.   |  [🤗](https://huggingface.co/openbmb/MiniCPM-V-2) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2/files) |
-| MiniCPM-V 1.0 | Lightest version, achieving the fastest inference. |   [🤗](https://huggingface.co/openbmb/MiniCPM-V) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V/files) |
+| MiniCPM-Llama3-V 2.5  | The lastest version, achieving state-of-the edge-side multimodal performance.   |  [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5) |
+| MiniCPM-Llama3-V 2.5 int4  | int4 quantized version，lower GPU memory usage. |  [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-int4/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) |
+| MiniCPM-V 2.0  | Light version, balance the performance the computation cost.   |  [🤗](https://huggingface.co/openbmb/MiniCPM-V-2) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2) |
+| MiniCPM-V 1.0 | Lightest version, achieving the fastest inference. |   [🤗](https://huggingface.co/openbmb/MiniCPM-V) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V) |
 
 ### Multi-turn Conversation
 Please refer to the following codes to run `MiniCPM-V` and `OmniLMM`.