src/peft/tuners/oft/bnb.py [44:86]:
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            use_cayley_neumann: bool = False,
            num_cayley_neumann_terms: int = 5,
            **kwargs,
        ) -> None:
            super().__init__()
            OFTLayer.__init__(self, base_layer)
            self.fan_in_fan_out = False

            self._active_adapter = adapter_name
            self.update_layer(
                adapter_name,
                r,
                oft_block_size=oft_block_size,
                module_dropout=module_dropout,
                coft=coft,
                eps=eps,
                block_share=block_share,
                init_weights=init_weights,
                use_cayley_neumann=use_cayley_neumann,
                num_cayley_neumann_terms=num_cayley_neumann_terms,
            )

        def merge(self, safe_merge: bool = False, adapter_names: Optional[list[str]] = None) -> None:
            """
            Merge the active adapter weights into the base weights

            Args:
                safe_merge (`bool`, *optional*):
                    If True, the merge operation will be performed in a copy of the original weights and check for NaNs
                    before merging the weights. This is useful if you want to check if the merge operation will produce
                    NaNs. Defaults to `False`.
                adapter_names (`list[str]`, *optional*):
                    The list of adapter names that should be merged. If None, all active adapters will be merged.
                    Defaults to `None`.
            """
            adapter_names = check_adapters_to_merge(self, adapter_names)
            if not adapter_names:
                # no adapter to merge
                return

            for active_adapter in adapter_names:
                if active_adapter not in self.oft_R.keys():
                    continue
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src/peft/tuners/oft/bnb.py [223:265]:
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            use_cayley_neumann: bool = False,
            num_cayley_neumann_terms: int = 5,
            **kwargs,
        ) -> None:
            super().__init__()
            OFTLayer.__init__(self, base_layer)
            self.fan_in_fan_out = False

            self._active_adapter = adapter_name
            self.update_layer(
                adapter_name,
                r,
                oft_block_size=oft_block_size,
                module_dropout=module_dropout,
                coft=coft,
                eps=eps,
                block_share=block_share,
                init_weights=init_weights,
                use_cayley_neumann=use_cayley_neumann,
                num_cayley_neumann_terms=num_cayley_neumann_terms,
            )

        def merge(self, safe_merge: bool = False, adapter_names: Optional[list[str]] = None) -> None:
            """
            Merge the active adapter weights into the base weights

            Args:
                safe_merge (`bool`, *optional*):
                    If True, the merge operation will be performed in a copy of the original weights and check for NaNs
                    before merging the weights. This is useful if you want to check if the merge operation will produce
                    NaNs. Defaults to `False`.
                adapter_names (`list[str]`, *optional*):
                    The list of adapter names that should be merged. If None, all active adapters will be merged.
                    Defaults to `None`.
            """
            adapter_names = check_adapters_to_merge(self, adapter_names)
            if not adapter_names:
                # no adapter to merge
                return

            for active_adapter in adapter_names:
                if active_adapter not in self.oft_R.keys():
                    continue
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