From 373da0e27680a8a21ed2dafeb515099981e24838 Mon Sep 17 00:00:00 2001
From: Xuan-Son Nguyen <thichthat@gmail.com>
Date: Mon, 16 Feb 2026 12:03:45 +0100
Subject: [PATCH] Apply suggestion from @ngxson

---
 convert_hf_to_gguf.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py
index f6a5b7a60e..9bbc9bad87 100755
--- a/convert_hf_to_gguf.py
+++ b/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):