diff --git a/README.md b/README.md
index 61c0eba45b..e45e3b687e 100644
--- a/README.md
+++ b/README.md
@@ -162,6 +162,7 @@ For detailed inference benchmarks in more devices and more settings, please refe
   <li>Phi-3-vision (4.2B)</li>
   <li>Phi-3.5-vision (4.2B)</li>
   <li>GLM-4V (9B)</li>
+  <li>Llama3.2-vision (11B, 90B)</li>
 </ul>
 </td>
 </tr>
diff --git a/README_ja.md b/README_ja.md
index 999ebc9f0b..df4647d868 100644
--- a/README_ja.md
+++ b/README_ja.md
@@ -160,6 +160,7 @@ LMDeploy TurboMindエンジンは卓越した推論能力を持ち、さまざ
   <li>Phi-3-vision (4.2B)</li>
   <li>Phi-3.5-vision (4.2B)</li>
   <li>GLM-4V (9B)</li>
+  <li>Llama3.2-vision (11B, 90B)</li>
 </ul>
 </td>
 </tr>
diff --git a/README_zh-CN.md b/README_zh-CN.md
index f002899c60..160af6f694 100644
--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@@ -163,6 +163,7 @@ LMDeploy TurboMind 引擎拥有卓越的推理能力，在各种规模的模型
   <li>Phi-3-vision (4.2B)</li>
   <li>Phi-3.5-vision (4.2B)</li>
   <li>GLM-4V (9B)</li>
+  <li>Llama3.2-vision (11B, 90B)</li>
 </ul>
 </td>
 </tr>
diff --git a/docs/en/supported_models/supported_models.md b/docs/en/supported_models/supported_models.md
index 260120efe0..620470a4de 100644
--- a/docs/en/supported_models/supported_models.md
+++ b/docs/en/supported_models/supported_models.md
@@ -20,6 +20,7 @@ The following tables detail the models supported by LMDeploy's TurboMind engine
 |        Qwen1.5        | 1.8B - 110B | LLM  |    Yes    |   Yes   |   Yes   |  Yes  |
 |         Qwen2         | 1.5B - 72B  | LLM  |    Yes    |   Yes   |   Yes   |  Yes  |
 |        Mistral        |     7B      | LLM  |    Yes    |   Yes   |   Yes   |   -   |
+|        Mixtral        | 8x7B, 8x22B | LLM  |    Yes    |   Yes   |   Yes   |   -   |
 |        Qwen-VL        |     7B      | MLLM |    Yes    |   Yes   |   Yes   |  Yes  |
 |      DeepSeek-VL      |     7B      | MLLM |    Yes    |   Yes   |   Yes   |  Yes  |
 |       Baichuan        |     7B      | LLM  |    Yes    |   Yes   |   Yes   |  Yes  |
@@ -60,7 +61,7 @@ The TurboMind engine doesn't support window attention. Therefore, for models tha
 |     Falcon     |  7B - 180B  | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
 |       YI       |  6B - 34B   | LLM  |    Yes    |   Yes   |   Yes   |  No  |  Yes  |
 |    Mistral     |     7B      | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
-|    Mixtral     |    8x7B     | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
+|    Mixtral     | 8x7B, 8x22B | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
 |      QWen      | 1.8B - 72B  | LLM  |    Yes    |   Yes   |   Yes   |  No  |  Yes  |
 |    QWen1.5     | 0.5B - 110B | LLM  |    Yes    |   Yes   |   Yes   |  No  |  Yes  |
 |  QWen1.5-MoE   |    A2.7B    | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
diff --git a/docs/zh_cn/supported_models/supported_models.md b/docs/zh_cn/supported_models/supported_models.md
index 26930cf3ce..d47909f541 100644
--- a/docs/zh_cn/supported_models/supported_models.md
+++ b/docs/zh_cn/supported_models/supported_models.md
@@ -20,6 +20,7 @@
 |        Qwen1.5        | 1.8B - 110B | LLM  |    Yes    |   Yes   |   Yes   |  Yes  |
 |         Qwen2         | 1.5B - 72B  | LLM  |    Yes    |   Yes   |   Yes   |  Yes  |
 |        Mistral        |     7B      | LLM  |    Yes    |   Yes   |   Yes   |   -   |
+|        Mixtral        | 8x7B, 8x22B | LLM  |    Yes    |   Yes   |   Yes   |   -   |
 |        Qwen-VL        |     7B      | MLLM |    Yes    |   Yes   |   Yes   |  Yes  |
 |      DeepSeek-VL      |     7B      | MLLM |    Yes    |   Yes   |   Yes   |  Yes  |
 |       Baichuan        |     7B      | LLM  |    Yes    |   Yes   |   Yes   |  Yes  |
@@ -60,7 +61,7 @@ turbomind 引擎不支持 window attention。所以，对于应用了 window att
 |     Falcon     |  7B - 180B  | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
 |       YI       |  6B - 34B   | LLM  |    Yes    |   Yes   |   Yes   |  No  |  Yes  |
 |    Mistral     |     7B      | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
-|    Mixtral     |    8x7B     | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
+|    Mixtral     | 8x7B, 8x22B | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |
 |      QWen      | 1.8B - 72B  | LLM  |    Yes    |   Yes   |   Yes   |  No  |  Yes  |
 |    QWen1.5     | 0.5B - 110B | LLM  |    Yes    |   Yes   |   Yes   |  No  |  Yes  |
 |  QWen1.5-MoE   |    A2.7B    | LLM  |    Yes    |   Yes   |   Yes   |  No  |  No   |