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convert_hf_to_gguf.py

@@ -7284,7 +7284,7 @@ class Cohere2Model(TextModel):
         self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.NONE)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # Cohere2 runtime in llama.cpp expects no bias tensors; 
+        # Cohere2 runtime in llama.cpp expects no bias tensors;
         # the actual weight only contains 0-value tensors as bias, we can skip them
         if name.endswith(".bias"):
             if torch.any(data_torch != 0):