drop vit projector in base filter

Author: forforever73

conversion/base.py

@@ -1112,7 +1112,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
         name, gen = item
 
         # Skip multimodal tensors
-        if name.startswith(("mlp", "vit.", "vpm.", "siglip2.", "conformer.", "merger.", "resampler.", "sound_encoder.", "sound_projection.", "speech_embeddings.")) \
+        if name.startswith(("mlp", "vit.", "vit_large_projector.", "vpm.", "siglip2.", "conformer.", "merger.", "resampler.", "sound_encoder.", "sound_projection.", "speech_embeddings.")) \
                 or "visual." in name or "vision." in name or "audio." in name or "talker." in name \
                 or "vision_" in name or "audio_" in name or "sam_model" in name \
                 or "token2wav." in name or "code2wav." in name \

conversion/step3.py

@@ -168,10 +168,6 @@ def set_gguf_parameters(self):
     @classmethod
     def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
         name, gen = item
-
-        if name.startswith("vit_large_projector."):
-            return None
-
         # Map router bias (expert selection bias) to a GGUF bias tensor
         if name.endswith(".moe.router_bias"):
             name += ".bias"