[Fix] model init / XPU / transformers-v5 / bench-image fixes (#28292)

Co-authored-by: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>

python/sglang/benchmark/datasets/image.py

@@ -115,7 +115,10 @@ def create_mm_data_row(
         # Note (Xinyuan): This is a workaround for an issue where some tokenizers do not support content as a list. (e.g. InternVL)
         print(f"Error applying chat template: {e}, fallback to <image> tag")
         # Some tokenizers do not support list content; fall back to a placeholder in the text
-        prompt_str = f"<image>{text_prompt}"
+        if type(processor).__name__ == "MiniCPMOProcessor":
+            prompt_str = f"(<image>./</image>){text_prompt}"
+        else:
+            prompt_str = f"<image>{text_prompt}"
 
     # Calculate total tokens (text + vision)
     if type(processor).__name__ == "KimiK25Processor":
@@ -125,6 +128,12 @@ def create_mm_data_row(
             medias=medias,
             return_tensors="pt",
         )["input_ids"].numel()
+    elif type(processor).__name__ == "VLChatProcessor":
+        prompt_len = processor(
+            prompt=prompt_str,
+            images=images,
+            force_batchify=False,
+        )["input_ids"].numel()
     elif type(processor).__name__ == "DeepseekVLV2Processor":
         result = processor(
             conversations=prompt_str,