[Model] Enable native HF format InternVL support (#23742)

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

docs/models/supported_models.md

@@ -629,6 +629,7 @@ These models primarily accept the [`LLM.generate`](./generative_models.md#llmgen
 | `Idefics3ForConditionalGeneration` | Idefics3 | T + I | `HuggingFaceM4/Idefics3-8B-Llama3`, etc. | ✅︎ | | ✅︎ |
 | `InternS1ForConditionalGeneration` | Intern-S1 | T + I<sup>E+</sup> + V<sup>E+</sup> | `internlm/Intern-S1`, etc. | ✅︎ | ✅︎ | ✅︎ |
 | `InternVLChatModel` | InternVL 3.5, InternVL 3.0, InternVideo 2.5, InternVL 2.5, Mono-InternVL, InternVL 2.0 | T + I<sup>E+</sup> + (V<sup>E+</sup>) | `OpenGVLab/InternVL3_5-14B`, `OpenGVLab/InternVL3-9B`, `OpenGVLab/InternVideo2_5_Chat_8B`, `OpenGVLab/InternVL2_5-4B`, `OpenGVLab/Mono-InternVL-2B`, `OpenGVLab/InternVL2-4B`, etc. | ✅︎ | ✅︎ | ✅︎ |
+| `InternVLForConditionalGeneration` | InternVL 3.0 (HF format) | T + I<sup>E+</sup> + V<sup>E+</sup> | `OpenGVLab/InternVL3-1B-hf`, etc. | ✅︎ | ✅︎ | ✅︎ |
 | `KeyeForConditionalGeneration` | Keye-VL-8B-Preview | T + I<sup>E+</sup> + V<sup>E+</sup> | `Kwai-Keye/Keye-VL-8B-Preview` | | | ✅︎ |
 | `KimiVLForConditionalGeneration` | Kimi-VL-A3B-Instruct, Kimi-VL-A3B-Thinking | T + I<sup>+</sup> | `moonshotai/Kimi-VL-A3B-Instruct`, `moonshotai/Kimi-VL-A3B-Thinking` | | ✅︎ | ✅︎ |
 | `Llama4ForConditionalGeneration` | Llama 4 | T + I<sup>+</sup> | `meta-llama/Llama-4-Scout-17B-16E-Instruct`, `meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8`, `meta-llama/Llama-4-Maverick-17B-128E-Instruct`, etc. | | ✅︎ | ✅︎ |

tests/models/multimodal/generation/test_common.py

@@ -222,21 +222,6 @@ VLM_TEST_SETTINGS = {
         },
         marks=[large_gpu_mark(min_gb=32)],
     ),
-    # Check "auto" with fallback to transformers
-    "internvl-transformers": VLMTestInfo(
-        models=["OpenGVLab/InternVL3-1B-hf"],
-        test_type=(VLMTestType.IMAGE, VLMTestType.MULTI_IMAGE),
-        prompt_formatter=lambda img_prompt: f"<|im_start|>User\n{img_prompt}<|im_end|>\n<|im_start|>Assistant\n", # noqa: E501
-        img_idx_to_prompt=lambda idx: "<IMG_CONTEXT>",
-        max_model_len=4096,
-        use_tokenizer_eos=True,
-        image_size_factors=[(0.25, 0.5, 1.0)],
-        vllm_runner_kwargs={
-            "model_impl": "auto",
-        },
-        auto_cls=AutoModelForImageTextToText,
-        marks=[pytest.mark.core_model],
-    ),
     #### Extended model tests
     "aria": VLMTestInfo(
         models=["rhymes-ai/Aria"],
@@ -461,6 +446,20 @@ VLM_TEST_SETTINGS = {
         use_tokenizer_eos=True,
         patch_hf_runner=model_utils.internvl_patch_hf_runner,
     ),
+    "intern_vl-hf": VLMTestInfo(
+        models=["OpenGVLab/InternVL3-1B-hf"],
+        test_type=(
+            VLMTestType.IMAGE,
+            VLMTestType.MULTI_IMAGE,
+            VLMTestType.VIDEO,
+        ),
+        prompt_formatter=lambda img_prompt: f"<|im_start|>User\n{img_prompt}<|im_end|>\n<|im_start|>Assistant\n", # noqa: E501
+        img_idx_to_prompt=lambda idx: "<IMG_CONTEXT>",
+        video_idx_to_prompt=lambda idx: "<video>",
+        max_model_len=8192,
+        use_tokenizer_eos=True,
+        auto_cls=AutoModelForImageTextToText,
+    ),
     "kimi_vl": VLMTestInfo(
         models=["moonshotai/Kimi-VL-A3B-Instruct"],
         test_type=(VLMTestType.IMAGE, VLMTestType.MULTI_IMAGE),

tests/models/registry.py

@@ -429,6 +429,7 @@ _MULTIMODAL_EXAMPLE_MODELS = {
                                                  "3.5-qwen3moe": "OpenGVLab/InternVL3_5-30B-A3B",   # noqa: E501
                                                  "3.5-gptoss": "OpenGVLab/InternVL3_5-GPT-OSS-20B-A4B-Preview"},  # noqa: E501
                                          trust_remote_code=True),
+    "InternVLForConditionalGeneration": _HfExamplesInfo("OpenGVLab/InternVL3-1B-hf"),    # noqa: E501
     "KeyeForConditionalGeneration": _HfExamplesInfo("Kwai-Keye/Keye-VL-8B-Preview", # noqa: E501
                                                     trust_remote_code=True),
     "KimiVLForConditionalGeneration": _HfExamplesInfo("moonshotai/Kimi-VL-A3B-Instruct",  # noqa: E501
@@ -584,7 +585,7 @@ _SPECULATIVE_DECODING_EXAMPLE_MODELS = {
 _TRANSFORMERS_BACKEND_MODELS = {
     "TransformersModel": _HfExamplesInfo("Qwen/Qwen3-Embedding-0.6B"),
     "TransformersForCausalLM": _HfExamplesInfo("hmellor/Ilama-3.2-1B", trust_remote_code=True),  # noqa: E501
-    "TransformersForMultimodalLM": _HfExamplesInfo("OpenGVLab/InternVL3-1B-hf"),
+    "TransformersForMultimodalLM": _HfExamplesInfo("BAAI/Emu3-Chat-hf"),
 }
 
 _EXAMPLE_MODELS = {

vllm/model_executor/models/registry.py

@@ -220,6 +220,7 @@ _MULTIMODAL_MODELS = {
     "H2OVLChatModel": ("h2ovl", "H2OVLChatModel"),
     "InternVLChatModel": ("internvl", "InternVLChatModel"),
     "InternS1ForConditionalGeneration": ("interns1", "InternS1ForConditionalGeneration"),  # noqa: E501
+    "InternVLForConditionalGeneration": ("interns1", "InternS1ForConditionalGeneration"),  # noqa: E501
     "Idefics3ForConditionalGeneration":("idefics3","Idefics3ForConditionalGeneration"),
     "SmolVLMForConditionalGeneration": ("smolvlm","SmolVLMForConditionalGeneration"),  # noqa: E501
     "KeyeForConditionalGeneration": ("keye", "KeyeForConditionalGeneration"),