>:jM hSSKJr SSKJrJr SSKJrJr SSKJ r SSK J r \"SS\ 55r g) ) annotations) dataclassfield)OptionalUnion) PeftConfig)PeftTypec^\rSrSr%Sr\"SSS0S9rS\S'\"SSS 0S9rS\S '\"SSS 0S9r S\S 'U4S jr Sr U=r $)LNTuningConfiga This is the configuration class to store the configuration of a :class:`~peft.tuners.LNTuningModel`. Args: target_modules (`Optional[Union[List[str], str]]`): List of module names or regex expression of the module names to replace with LNTuning. For example, '.*decoder.*' or '.*encoder.*'. If this is not specified, modules will be chosen according to the model architecture. If the architecture is not known, an error will be raised -- in this case, you should specify the target modules manually. exclude_modules (`Optional[Union[List[str], str]]`): The names of the modules to not apply the adapter. When passing a string, a regex match will be performed. When passing a list of strings, either an exact match will be performed or it is checked if the name of the module ends with any of the passed strings. modules_to_save (`Optional[Union[List[str], str]]`): List of modules to be set as trainable and saved in the final checkpoint. For example, in Sequence Classification or Token Classification tasks, the final layer `classifier/score` are randomly initialized and as such need to be trainable and saved. NhelpaJList of module names or regex expression of the module names to replace with LNTuning.For example, '.*decoder.*' or '.*encoder.*'. If not specified, modules will be chosen according to the model architecture, If the architecture is not known, an error will be raised -- in this case, you shoud specify the target modules manually.)defaultmetadatazOptional[Union[list[str], str]]target_moduleszVList of module names or regex expression of the module names to exclude from LNTuning.exclude_moduleszList of modules to be set as trainable and saved in the final checkpoint. For example, in Sequence Classification or Token Classification tasks, the final layer `classifier/score` are randomly initialized and as such need to be trainable and saved.modules_to_savecL>[TU]5 [RUlg)N)super __post_init__r LN_TUNING peft_type)self __class__s Y/home/mande/repo/quber/.venv/lib/python3.13/site-packages/peft/tuners/ln_tuning/config.pyrLNTuningConfig.__post_init__Ds !++)r) __name__ __module__ __qualname____firstlineno____doc__rr__annotations__rrr__static_attributes__ __classcell__)rs@rr r s|&7< u  7N3 8=rs8O48= v 8O4,,rr N) __future__r dataclassesrrtypingrr peft.configr peft.utilsr r rrr+s1#("" .,Z., .,r