diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py
index 0d77b83c06..27c8f8e5b0 100755
--- a/convert_hf_to_gguf.py
+++ b/convert_hf_to_gguf.py
@@ -6005,6 +6005,7 @@ class Gemma3VisionModel(MmprojModel):
 
         return [] # skip other tensors
 
+
 @ModelBase.register("DeepseekOCRForCausalLM")
 class DeepseekOCRVisionModel(MmprojModel):
     def set_gguf_parameters(self):
@@ -6044,7 +6045,6 @@ class DeepseekOCRVisionModel(MmprojModel):
 
         return vision_config
 
-
     def tensor_force_quant(self, name, new_name, bid, n_dims):
         # TODO: increase numercial stability. maybe delete later.
         return gguf.GGMLQuantizationType.F32
@@ -7244,7 +7244,7 @@ class DeepseekV2Model(TextModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         vision_config = self.hparams.get('vision_config', {}).get('width', {})
-        
+
         if 'clip-l-14-224' in vision_config and 'sam_vit_b' in vision_config:
             self.model_arch = gguf.MODEL_ARCH.DEEPSEEK2OCR
             self.gguf_writer.arch = gguf.MODEL_ARCH_NAMES[self.model_arch]
@@ -7354,8 +7354,12 @@ class DeepseekV2Model(TextModel):
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # skip vision tensors and remove "language_model." for Kimi-VL
-        if "vision_" in name or "multi_modal_projector" in name \
-            or "image_newline" in name or "model.projector" in name or "sam_model" in name or "view_seperator" in name:
+        if ("vision_" in name
+                or "multi_modal_projector" in name
+                or "image_newline" in name
+                or "model.projector" in name
+                or "sam_model" in name
+                or "view_seperator" in name):
             return []
 
         if name.startswith("language_model."):
@@ -7435,6 +7439,7 @@ class DeepseekV2Model(TextModel):
             if len(experts) > 0:
                 raise ValueError(f"Unprocessed experts: {experts}")
 
+
 @ModelBase.register("MiniMaxM2ForCausalLM")
 class MiniMaxM2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.MINIMAXM2
diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py
index 15c318e11c..0c04e10c47 100644
--- a/gguf-py/gguf/gguf_writer.py
+++ b/gguf-py/gguf/gguf_writer.py
@@ -1129,7 +1129,7 @@ class GGUFWriter:
 
     def add_vision_sam_layers_count(self, value: int) -> None:
         self.add_uint32(Keys.ClipVision.SAM.BLOCK_COUNT, value)
-    
+
     def add_vision_sam_embedding_length(self, value: int) -> None:
         self.add_uint32(Keys.ClipVision.SAM.EMBEDDING_LENGTH, value)
 
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 90491b15da..9e9ab16dea 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -1238,15 +1238,15 @@ class TensorNameMap:
             "vision_model.positional_embedding_vlm", # llama 4
             "vision_tower.patch_embed.pos_emb", # kimi-vl
             "visual.pos_embed", # qwen3vl
-            "model.vision.patch_embedding.position_embedding", # cogvlm
+            "model.vision.patch_embedding.position_embedding",  # cogvlm
         ),
-        
+
         MODEL_TENSOR.V_ENC_EMBD_IMGNL: (
-            "model.image_newline", # Deepseek-OCR
+            "model.image_newline",  # Deepseek-OCR
         ),
-        
+
         MODEL_TENSOR.V_ENC_EMBD_VSEP: (
-            "model.view_seperator", # Deepseek-OCR
+            "model.view_seperator",  # Deepseek-OCR
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_QKV: (