[VLM] Separate text-only and vision variants of the same model architecture (#13157)

examples/offline_inference/vision_language_multi_image.py

@@ -77,7 +77,7 @@ def load_deepseek_vl2(question: str, image_urls: List[str]):
     )
 
 
-def load_h2onvl(question: str, image_urls: List[str]) -> ModelRequestData:
+def load_h2ovl(question: str, image_urls: List[str]) -> ModelRequestData:
     model_name = "h2oai/h2ovl-mississippi-2b"
 
     llm = LLM(
@@ -302,6 +302,7 @@ def load_qwen_vl_chat(question: str,
         trust_remote_code=True,
         max_model_len=1024,
         max_num_seqs=2,
+        hf_overrides={"architectures": ["QwenVLForConditionalGeneration"]},
         limit_mm_per_prompt={"image": len(image_urls)},
     )
     placeholders = "".join(f"Picture {i}: <img></img>\n"
@@ -452,7 +453,7 @@ def load_qwen2_5_vl(question, image_urls: List[str]) -> ModelRequestData:
 model_example_map = {
     "aria": load_aria,
     "deepseek_vl_v2": load_deepseek_vl2,
-    "h2ovl_chat": load_h2onvl,
+    "h2ovl_chat": load_h2ovl,
     "idefics3": load_idefics3,
     "internvl_chat": load_internvl,
     "mllama": load_mllama,