fix style

convert_lora_to_gguf.py

@@ -363,11 +363,11 @@ def get_tensors(self) -> Iterator[tuple[str, Tensor]]:
                     yield (name, cast(torch.Tensor, LoraTorchTensor(tensor.A, tensor.B)))
 
             def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-                dest = super().modify_tensors(data_torch, name, bid)
+                dest = list(super().modify_tensors(data_torch, name, bid))
                 # for now, we cannot convert archs that use the same tensor for tok_embd and output
                 # see: https://github.com/ggerganov/llama.cpp/issues/9065
                 if name == "lm_head.weight" and len(dest) == 0:
-                    raise ValueError(f"lm_head is present in adapter, but is ignored in base model")
+                    raise ValueError("lm_head is present in adapter, but is ignored in base model")
                 for dest_name, dest_data in dest:
                     assert isinstance(dest_data, LoraTorchTensor)
                     lora_a, lora_b = dest_data.get_lora_A_B()