clip : Add Qwen2.5VL support (#12402)

* implment vision model architecture, gguf convertor

* handle window attention inputs

* add debug utils

* fix few incorrect tensor memory layout

* move position id remap out of ggml to avoid int32 cuda operations

* cleaning up

* ignore transformers Qwen2_5_xxx type check

* remove not so often use `qwen2vl-cli` debug functions

* remove commented-out code blocks

* fix attn weight scaling after rebase

* add `PROJECTOR_TYPE_QWEN2_5_VL`

* remove `KEY_USE_GLU_MLP`, `KEY_USE_RMS_NORM`

* replace `KEY_FULLATTN_BLK_IDX` with `KEY_WIN_ATTN_PATTERN`

* remove `attn_window_size` from gguf

* fix model conversion

* clean up

* fix merging problem

* add test

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>

convert_hf_to_gguf.py

@@ -2554,11 +2554,12 @@ class Qwen2VLModel(TextModel):
         except FileNotFoundError:
             self._set_vocab_gpt2()
 
-    def get_tensors(self) -> Iterator[tuple[str, Tensor]]:
-        for name, data in super().get_tensors():
-            if name.startswith("visual."):
-                continue
-            yield name, data
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        del bid  # unused
+        if name.startswith("visual."):
+            # skip visual tensors
+            return []
+        return [(self.map_tensor_name(name), data_torch)]
 
 
 @ModelBase.register("WavTokenizerDec")