[Chore]: Remove HF format Phi4-MM examples (#31405)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>

examples/offline_inference/vision_language.py

@@ -1424,41 +1424,6 @@ def run_phi4mm(questions: list[str], modality: str) -> ModelRequestData:
     )
 
 
-# HF format Phi-4-multimodal-instruct
-def run_phi4_multimodal(questions: list[str], modality: str) -> ModelRequestData:
-    """
-    Phi-4-multimodal-instruct supports both image and audio inputs. Here, we
-    show how to process image inputs.
-    """
-    assert modality == "image"
-    model_path = snapshot_download(
-        "microsoft/Phi-4-multimodal-instruct", revision="refs/pr/70"
-    )
-    # Since the vision-lora and speech-lora co-exist with the base model,
-    # we have to manually specify the path of the lora weights.
-    vision_lora_path = os.path.join(model_path, "vision-lora")
-    prompts = [
-        f"<|user|><|image|>{question}<|end|><|assistant|>" for question in questions
-    ]
-    engine_args = EngineArgs(
-        model=model_path,
-        max_model_len=5120,
-        max_num_seqs=2,
-        max_num_batched_tokens=12800,
-        enable_lora=True,
-        max_lora_rank=320,
-        # Note - mm_processor_kwargs can also be passed to generate/chat calls
-        mm_processor_kwargs={"dynamic_hd": 16},
-        limit_mm_per_prompt={"image": 1},
-    )
-
-    return ModelRequestData(
-        engine_args=engine_args,
-        prompts=prompts,
-        lora_requests=[LoRARequest("vision", 1, vision_lora_path)],
-    )
-
-
 # Pixtral HF-format
 def run_pixtral_hf(questions: list[str], modality: str) -> ModelRequestData:
     assert modality == "image"
@@ -1904,7 +1869,6 @@ model_example_map = {
     "paligemma2": run_paligemma2,
     "phi3_v": run_phi3v,
     "phi4_mm": run_phi4mm,
-    "phi4_multimodal": run_phi4_multimodal,
     "pixtral_hf": run_pixtral_hf,
     "qwen_vl": run_qwen_vl,
     "qwen2_vl": run_qwen2_vl,