diff --git a/README.md b/README.md
index bc0b101859..a8fcaf105f 100644
--- a/README.md
+++ b/README.md
@@ -149,6 +149,7 @@ For detailed inference benchmarks in more devices and more settings, please refe
   <li>InternLM-XComposer2 (7B, 4khd-7B)</li>
   <li>InternLM-XComposer2.5 (7B)</li>
   <li>Qwen-VL (7B)</li>
+  <li>Qwen2-VL (2B, 7B)</li>
   <li>DeepSeek-VL (7B)</li>
   <li>InternVL-Chat (v1.1-v1.5)</li>
   <li>InternVL2 (1B-76B)</li>
diff --git a/README_zh-CN.md b/README_zh-CN.md
index b62cb22b05..871eba01b5 100644
--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@@ -150,6 +150,7 @@ LMDeploy TurboMind 引擎拥有卓越的推理能力，在各种规模的模型
   <li>InternLM-XComposer2 (7B, 4khd-7B)</li>
   <li>InternLM-XComposer2.5 (7B)</li>
   <li>Qwen-VL (7B)</li>
+  <li>Qwen2-VL (2B, 7B)</li>
   <li>DeepSeek-VL (7B)</li>
   <li>InternVL-Chat (v1.1-v1.5)</li>
   <li>InternVL2 (1B-76B)</li>
diff --git a/docs/en/supported_models/supported_models.md b/docs/en/supported_models/supported_models.md
index 1a04b0b5fb..52367e4471 100644
--- a/docs/en/supported_models/supported_models.md
+++ b/docs/en/supported_models/supported_models.md
@@ -62,6 +62,7 @@ The TurboMind engine doesn't support window attention. Therefore, for models tha
 |    QWen1.5     | 0.5B - 110B | LLM  |    Yes    |   No    |  No  |  Yes  |
 |  QWen1.5-MoE   |    A2.7B    | LLM  |    Yes    |   No    |  No  |  No   |
 |     QWen2      | 0.5B - 72B  | LLM  |    Yes    |   No    |  No  |  Yes  |
+|    QWen2-VL    |   2B, 7B    | MLLM |    Yes    |   No    |  No  |  No   |
 |  DeepSeek-MoE  |     16B     | LLM  |    Yes    |   No    |  No  |  No   |
 |  DeepSeek-V2   |  16B, 236B  | LLM  |    Yes    |   No    |  No  |  No   |
 |    MiniCPM3    |     4B      | LLM  |    Yes    |   No    |  No  |  No   |
diff --git a/docs/zh_cn/supported_models/supported_models.md b/docs/zh_cn/supported_models/supported_models.md
index 2d7f2b6c2a..779fc6cd51 100644
--- a/docs/zh_cn/supported_models/supported_models.md
+++ b/docs/zh_cn/supported_models/supported_models.md
@@ -62,6 +62,7 @@ turbomind 引擎不支持 window attention。所以，对于应用了 window att
 |    QWen1.5     | 0.5B - 110B | LLM  |    Yes    |   No    |  No  |  Yes  |
 |  QWen1.5-MoE   |    A2.7B    | LLM  |    Yes    |   No    |  No  |  No   |
 |     QWen2      | 0.5B - 72B  | LLM  |    Yes    |   No    |  No  |  Yes  |
+|    QWen2-VL    |   2B, 7B    | MLLM |    Yes    |   No    |  No  |  No   |
 |  DeepSeek-MoE  |     16B     | LLM  |    Yes    |   No    |  No  |  No   |
 |  DeepSeek-V2   |  16B, 236B  | LLM  |    Yes    |   No    |  No  |  No   |
 |    MiniCPM3    |     4B      | LLM  |    Yes    |   No    |  No  |  No   |