langchain.llms.google_palm.GooglePalm¶
class langchain.llms.google_palm.GooglePalm[source]¶
Bases: BaseLLM, BaseModel
Google PaLM models.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param cache: Optional[bool] = None¶
param callback_manager: Optional[BaseCallbackManager] = None¶
param callbacks: Callbacks = None¶
param google_api_key: Optional[str] = None¶
param max_output_tokens: Optional[int] = None¶
Maximum number of tokens to include in a candidate. Must be greater than zero.
If unset, will default to 64.
param metadata: Optional[Dict[str, Any]] = None¶
Metadata to add to the run trace.
param model_name: str = 'models/text-bison-001'¶
Model name to use.
param n: int = 1¶
Number of chat completions to generate for each prompt. Note that the API may
not return the full n completions if duplicates are generated.
param tags: Optional[List[str]] = None¶
Tags to add to the run trace.
param temperature: float = 0.7¶
Run inference with this temperature. Must by in the closed interval
[0.0, 1.0].
param top_k: Optional[int] = None¶
Decode using top-k sampling: consider the set of top_k most probable tokens.
Must be positive.
param top_p: Optional[float] = None¶
Decode using nucleus sampling: consider the smallest set of tokens whose
probability sum is at least top_p. Must be in the closed interval [0.0, 1.0].
param verbose: bool [Optional]¶
Whether to print out response text.