of the output. A lower value will result in more focused and
    coherent text. (Default: 5.0)"""
    num_ctx: Optional[int]
    """Sets the size of the context window used to generate the
    next token. (Default: 2048)	"""
    num_gpu: Optional[int]
    """The number of GPUs to use. On macOS it defaults to 1 to
    enable metal support, 0 to disable."""
    num_thread: Optional[int]
    """Sets the number of threads to use during computation.
    By default, Ollama will detect this for optimal performance.
    It is recommended to set this value to the number of physical
    CPU cores your system has (as opposed to the logical number of cores)."""
    repeat_last_n: Optional[int]
    """Sets how far back for the model to look back to prevent
    repetition. (Default: 64, 0 = disabled, -1 = num_ctx)"""
    repeat_penalty: Optional[float]
    """Sets how strongly to penalize repetitions. A higher value (e.g., 1.5)
    will penalize repetitions more strongly, while a lower value (e.g., 0.9)
    will be more lenient. (Default: 1.1)"""
    temperature: Optional[float]
    """The temperature of the model. Increasing the temperature will
    make the model answer more creatively. (Default: 0.8)"""
    stop: Optional[List[str]]
    """Sets the stop tokens to use."""
    tfs_z: Optional[float]
    """Tail free sampling is used to reduce the impact of less probable
    tokens from the output. A higher value (e.g., 2.0) will reduce the