chore: update Yi models params (#2895)

api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-0205.yaml

   mode: chat
   context_size: 4096
 parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 0.3
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
+      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
   - name: max_tokens
     use_template: max_tokens
     type: int
     default: 512
     min: 1
-    max: 4096
-  - name: temperature
-    use_template: temperature
+    max: 4000
+    help:
+      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
+      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
+  - name: top_p
+    use_template: top_p
     type: float
-    default: 0.7
-    min: 0
-    max: 2
+    default: 0.8
+    min: 0.01
+    max: 1.00
+    help:
+      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
+      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
 pricing:
   input: '0.0025'
   output: '0.0025'

api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-200k.yaml

   mode: chat
   context_size: 200000
 parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 0.6
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
+      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
   - name: max_tokens
     use_template: max_tokens
     type: int
-    default: 1024
+    default: 4096
     min: 1
-    max: 200000
-  - name: temperature
-    use_template: temperature
+    max: 199950
+    help:
+      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
+      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
+  - name: top_p
+    use_template: top_p
     type: float
-    default: 0.7
-    min: 0
-    max: 2
+    default: 0.9
+    min: 0.01
+    max: 1.00
+    help:
+      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
+      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
 pricing:
   input: '0.012'
   output: '0.012'

api/core/model_runtime/model_providers/yi/llm/yi-vl-plus.yaml

   mode: chat
   context_size: 4096
 parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 0.3
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。
+      en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is.
   - name: max_tokens
     use_template: max_tokens
     type: int
     default: 512
     min: 1
-    max: 4096
-  - name: temperature
-    use_template: temperature
+    max: 4000
+    help:
+      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
+      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
+  - name: top_p
+    use_template: top_p
     type: float
-    default: 0.7
-    min: 0
-    max: 2
+    default: 0.8
+    min: 0.01
+    max: 1.00
+    help:
+      zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。
+      en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature.
 pricing:
   input: '0.01'
   output: '0.03'