def METHOD_NAME(
    self, config: Config[ModelConfig]
) -> list[QuantileForecasts]:
    """
    Returns the quantile forecasts of all models associated with the
    provided configuration, i.e. forecasts for the same model trained on
    different seeds.
    Args:
        config: The configuration to obtain forecasts for.
    Returns:
        The list of forecasts for all models.
    """
    info = self.config_map[config]
    result = []
    for i, job in enumerate(info.jobs):
        result.append(job.get_forecast(info.model_indices[i]))
    return result