enable glm4v and gemma-3 on vllm 083 (#13114)

* enable glm4v and gemma-3

* update

* add qwen2.5-vl

docker/llm/serving/xpu/docker/vllm_offline_inference_vision_language.py

@@ -8,9 +8,20 @@ model_path = "/llm/models/MiniCPM-V-2_6"
 model_path = "/llm/models/Qwen2-VL-7B-Instruct"
 model_path = "/llm/models/glm-4v-9b"
 model_path = "/llm/models/InternVL2-8B"
+model_path = "/llm/models/gemma-3-12b-it"
+model_path = "/llm/models/Qwen2.5-VL-7B-Instruct"
 
 prompt = "What is in the image?"
 
+def run_gemma3(question: str, modality: str):
+    assert modality == "image"
+
+    prompt =   ("<bos><start_of_turn>user\n"
+                f"<start_of_image>{question}<end_of_turn>\n"
+                 "<start_of_turn>model\n")
+    stop_token_ids = None
+    return prompt, stop_token_ids
+
 def run_internvl(question: str, modality: str):
     assert modality == "image"
 
@@ -69,18 +80,35 @@ def run_qwen2_vl(question, modality):
 model_example_map = {
     "minicpmv": run_minicpmv,
     "qwen2_vl": run_qwen2_vl,
+    "qwen2_5_vl": run_qwen2_vl,
     # only for glm4v
     "chatglm": run_glm4v,
     "internvl_chat": run_internvl,
+    "gemma3": run_gemma3,
 }
 
+if "glm-4v" in model_path:
+    hf_override = {"architectures": ["GLM4VForCausalLM"]}
+else:
+    hf_override = None
+
+dtype = "float16"
+if "gemma-3" in model_path:
+    mm_processor_kwarg = {"do_pan_and_scan": True}
+    dtype = "float32"
+else:
+    mm_processor_kwarg = None
+
+
 llm = LLM(
           model=model_path,
           device="xpu",
-          dtype="float16",
+          dtype=dtype,
           enforce_eager=True,
-          load_in_low_bit="fp8",
+          hf_overrides=hf_override,
-          tensor_parallel_size=1,
+          mm_processor_kwargs=mm_processor_kwarg,
+          load_in_low_bit="sym_int4",
+          tensor_parallel_size=2,
           disable_async_output_proc=True,
           distributed_executor_backend="ray",
           max_model_len=4000,

python/llm/src/ipex_llm/vllm/xpu/model_convert.py

@@ -77,7 +77,8 @@ def _ipex_llm_convert(load_in_low_bit):
 
 def get_load_function(low_bit):
     def _ipex_llm_load_model(self) -> None:
-        _model_sample_convert()
+        if "gemma-3" not in self.model_config.model.lower():
+            _model_sample_convert()
 
         # from vllm.utils import measure_device_memory
         from vllm.utils import DeviceMemoryProfiler