src/peft/tuners/oft/bnb.py [33:57]:
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        def __init__(
            self,
            base_layer: torch.nn.Module,
            adapter_name: str,
            r: int = 8,
            oft_block_size: int = 0,
            module_dropout: float = 0.0,
            init_weights: bool = True,
            coft: bool = False,
            eps: float = 6e-5,
            block_share: bool = False,
            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,
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src/peft/tuners/oft/hqq.py [33:57]:
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        def __init__(
            self,
            base_layer: torch.nn.Module,
            adapter_name: str,
            r: int = 8,
            oft_block_size: int = 0,
            module_dropout: float = 0.0,
            init_weights: bool = True,
            coft: bool = False,
            eps: float = 6e-5,
            block_share: bool = False,
            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,
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