update, fix unnecessary codes

Author: samuraieng

convert_hf_to_gguf.py

@@ -2992,13 +2992,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             else:
                 return
 
-        if self.origin_hf_arch.startswith('Sarashina2VisionForCausalLM'):
-            # Remove llm. from name 
-            if name.startswith("llm."):
-                name = name[len("llm."):]
-            elif name.startswith("visual.") or name in ("norm.weight", "norm.bias"):
-                return  #Skip processing "modify_tensors"
-
         yield from super().modify_tensors(data_torch, name, bid)
 
     def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
@@ -4267,12 +4260,7 @@ def set_gguf_parameters(self):
         assert self.hparams_vision is not None
         hparams = self.hparams_vision
         model_type = self.global_config['model_type']
-        if model_type == 'sarashina2_vision':
-            model_type = 'qwen2_vl'
-            self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN2VL)
-            spatial_merge_size = self.hparams.get("spatial_merge_size", 2)
-            self.gguf_writer.add_uint32("clip.vision.spatial_merge_size", spatial_merge_size)
-        elif model_type == 'qwen2_vl':
+        if model_type == 'qwen2_vl':
             self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN2VL)
         elif model_type == 'qwen2_5_vl' or model_type == 'qwen2_5_omni':
             if model_type == 'qwen2_5_omni':