YOLOv8配置文件应该如何命名？

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1.配置文件解析代码yolov8/ultralytics/nn/tasks.py 如下：

def yaml_model_load(path):
    """Load a YOLOv8 model from a YAML file."""
    import re

    path = Path(path)
    if path.stem in (f'yolov{d}{x}6' for x in 'nsmlx' for d in (5, 8)):
        new_stem = re.sub(r'(\d+)([nslmx])6(.+)?$', r'\1\2-p6\3', path.stem)
        LOGGER.warning(f'WARNING ⚠️ Ultralytics YOLO P6 models now use -p6 suffix. Renaming {path.stem} to {new_stem}.')
        path = path.with_name(new_stem + path.suffix)

    print("path,",path)
    unified_path = re.sub(r'(\d+)([nslmx])(.+)?$', r'\1\3', str(path))  # i.e. yolov8x.yaml -> yolov8.yaml
    print("unified_path,",unified_path)
    yaml_file = check_yaml(unified_path, hard=False)
    if not yaml_file:
        yaml_file = check_yaml(path)
    d = yaml_load(yaml_file)  # model dict
    d['scale'] = guess_model_scale(path)
    d['yaml_file'] = str(path)
    return d


def guess_model_scale(model_path):
    """
    Takes a path to a YOLO model's YAML file as input and extracts the size character of the model's scale. The function
    uses regular expression matching to find the pattern of the model scale in the YAML file name, which is denoted by
    n, s, m, l, or x. The function returns the size character of the model scale as a string.

    Args:
        model_path (str | Path): The path to the YOLO model's YAML file.

    Returns:
        (str): The size character of the model's scale, which can be n, s, m, l, or x.
    """