diff --git a/api/core/model_runtime/model_providers/tongyi/llm/llm.py b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
index 1d4eba6668..f90c7f075f 100644
--- a/api/core/model_runtime/model_providers/tongyi/llm/llm.py
+++ b/api/core/model_runtime/model_providers/tongyi/llm/llm.py
@@ -30,7 +30,15 @@ from core.model_runtime.entities.message_entities import (
     ToolPromptMessage,
     UserPromptMessage,
 )
-from core.model_runtime.entities.model_entities import ModelFeature
+from core.model_runtime.entities.model_entities import (
+    AIModelEntity,
+    FetchFrom,
+    I18nObject,
+    ModelFeature,
+    ModelType,
+    ParameterRule,
+    ParameterType,
+)
 from core.model_runtime.errors.invoke import (
     InvokeAuthorizationError,
     InvokeBadRequestError,
@@ -520,3 +528,64 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
                 UnsupportedHTTPMethod,
             ],
         }
+
+    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity | None:
+        """
+        Architecture for defining customizable models
+
+        :param model: model name
+        :param credentials: model credentials
+        :return: AIModelEntity or None
+        """
+        rules = [
+            ParameterRule(
+                name="temperature",
+                type=ParameterType.FLOAT,
+                use_template="temperature",
+                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
+            ),
+            ParameterRule(
+                name="top_p",
+                type=ParameterType.FLOAT,
+                use_template="top_p",
+                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
+            ),
+            ParameterRule(
+                name="top_k",
+                type=ParameterType.INT,
+                min=0,
+                max=99,
+                label=I18nObject(zh_Hans="top_k", en_US="top_k"),
+            ),
+            ParameterRule(
+                name="max_tokens",
+                type=ParameterType.INT,
+                min=1,
+                max=128000,
+                default=1024,
+                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
+            ),
+            ParameterRule(
+                name="seed",
+                type=ParameterType.INT,
+                default=1234,
+                label=I18nObject(zh_Hans="随机种子", en_US="Random Seed"),
+            ),
+            ParameterRule(
+                name="repetition_penalty",
+                type=ParameterType.FLOAT,
+                default=1.1,
+                label=I18nObject(zh_Hans="重复惩罚", en_US="Repetition Penalty"),
+            ),
+        ]
+
+        entity = AIModelEntity(
+            model=model,
+            label=I18nObject(en_US=model),
+            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
+            model_type=ModelType.LLM,
+            model_properties={},
+            parameter_rules=rules,
+        )
+
+        return entity
diff --git a/api/core/model_runtime/model_providers/tongyi/tongyi.yaml b/api/core/model_runtime/model_providers/tongyi/tongyi.yaml
index de2c289c94..fabe6d90e6 100644
--- a/api/core/model_runtime/model_providers/tongyi/tongyi.yaml
+++ b/api/core/model_runtime/model_providers/tongyi/tongyi.yaml
@@ -20,6 +20,7 @@ supported_model_types:
   - text-embedding
 configurate_methods:
   - predefined-model
+  - customizable-model
 provider_credential_schema:
   credential_form_schemas:
     - variable: dashscope_api_key
@@ -30,3 +31,20 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
+model_credential_schema:
+  model:
+    label:
+      en_US: Model Name
+      zh_Hans: 模型名称
+    placeholder:
+      en_US: Enter full model name
+      zh_Hans: 输入模型全称
+  credential_form_schemas:
+    - variable: dashscope_api_key
+      required: true
+      label:
+        en_US: API Key
+      type: secret-input
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key