PaLM

pydantic model llama_index.llms.palm.PaLM

PaLM LLM.

Show JSON schema

{
   "title": "PaLM",
   "description": "PaLM LLM.",
   "type": "object",
   "properties": {
      "callback_manager": {
         "title": "Callback Manager"
      },
      "model_name": {
         "title": "Model Name",
         "description": "The PaLM model to use.",
         "type": "string"
      },
      "num_output": {
         "title": "Num Output",
         "description": "The number of tokens to generate.",
         "type": "integer"
      },
      "generate_kwargs": {
         "title": "Generate Kwargs",
         "description": "Kwargs for generation.",
         "type": "object"
      }
   },
   "required": [
      "model_name",
      "num_output"
   ]
}

Config

• arbitrary_types_allowed: bool = True

Fields

• generate_kwargs (dict)

• model_name (str)

• num_output (int)

Validators

• _validate_callback_manager » callback_manager

field generate_kwargs: dict [Optional]

Kwargs for generation.

field model_name: str [Required]

The PaLM model to use.

field num_output: int [Required]

The number of tokens to generate.

classmethod class_name() → str

Get class name.

complete(*args: Any, **kwargs: Any) → Any

Completion endpoint for LLM.

stream_complete(*args: Any, **kwargs: Any) → Any

Streaming completion endpoint for LLM.

property metadata: LLMMetadata

Get LLM metadata.