diff --git a/libs/community/langchain_community/chat_models/deepinfra.py b/libs/community/langchain_community/chat_models/deepinfra.py
index 1a9941f3865..41da4adc9d8 100644
--- a/libs/community/langchain_community/chat_models/deepinfra.py
+++ b/libs/community/langchain_community/chat_models/deepinfra.py
@@ -207,7 +207,7 @@ class ChatDeepInfra(BaseChatModel):
     request_timeout: Optional[float] = Field(default=None, alias="timeout")
     temperature: Optional[float] = 1
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
-    """Run inference with this temperature. Must by in the closed
+    """Run inference with this temperature. Must be in the closed
        interval [0.0, 1.0]."""
     top_p: Optional[float] = None
     """Decode using nucleus sampling: consider the smallest set of tokens whose
diff --git a/libs/community/langchain_community/chat_models/google_palm.py b/libs/community/langchain_community/chat_models/google_palm.py
index 28d1d9018ce..bbdc7efc32b 100644
--- a/libs/community/langchain_community/chat_models/google_palm.py
+++ b/libs/community/langchain_community/chat_models/google_palm.py
@@ -236,7 +236,7 @@ class ChatGooglePalm(BaseChatModel, BaseModel):
     """Model name to use."""
     google_api_key: Optional[SecretStr] = None
     temperature: Optional[float] = None
-    """Run inference with this temperature. Must by in the closed
+    """Run inference with this temperature. Must be in the closed
        interval [0.0, 1.0]."""
     top_p: Optional[float] = None
     """Decode using nucleus sampling: consider the smallest set of tokens whose
diff --git a/libs/community/langchain_community/chat_models/litellm.py b/libs/community/langchain_community/chat_models/litellm.py
index a16cb187c4f..3ce4836c8a2 100644
--- a/libs/community/langchain_community/chat_models/litellm.py
+++ b/libs/community/langchain_community/chat_models/litellm.py
@@ -190,7 +190,7 @@ class ChatLiteLLM(BaseChatModel):
     request_timeout: Optional[Union[float, Tuple[float, float]]] = None
     temperature: Optional[float] = 1
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
-    """Run inference with this temperature. Must by in the closed
+    """Run inference with this temperature. Must be in the closed
        interval [0.0, 1.0]."""
     top_p: Optional[float] = None
     """Decode using nucleus sampling: consider the smallest set of tokens whose
diff --git a/libs/community/langchain_community/llms/google_palm.py b/libs/community/langchain_community/llms/google_palm.py
index 278a46ea2d7..e996c67b92d 100644
--- a/libs/community/langchain_community/llms/google_palm.py
+++ b/libs/community/langchain_community/llms/google_palm.py
@@ -72,7 +72,7 @@ class GooglePalm(BaseLLM, BaseModel):
     model_name: str = "models/text-bison-001"
     """Model name to use."""
     temperature: float = 0.7
-    """Run inference with this temperature. Must by in the closed interval
+    """Run inference with this temperature. Must be in the closed interval
        [0.0, 1.0]."""
     top_p: Optional[float] = None
     """Decode using nucleus sampling: consider the smallest set of tokens whose