Deprecated 1st generation Qwen and QwenVL models

docs/models/supported_models.md

@@ -469,7 +469,6 @@ th {
 | `PersimmonForCausalLM` | Persimmon | `adept/persimmon-8b-base`, `adept/persimmon-8b-chat`, etc. | | ✅︎ |
 | `Plamo2ForCausalLM` | PLaMo2 | `pfnet/plamo-2-1b`, `pfnet/plamo-2-8b`, etc. | ✅ | ✅︎ |
 | `Plamo3ForCausalLM` | PLaMo3 | `pfnet/plamo-3-nict-2b-base`, `pfnet/plamo-3-nict-8b-base`, etc. | ✅ | ✅︎ |
-| `QWenLMHeadModel` | Qwen | `Qwen/Qwen-7B`, `Qwen/Qwen-7B-Chat`, etc. | ✅︎ | ✅︎ |
 | `Qwen2ForCausalLM` | QwQ, Qwen2 | `Qwen/QwQ-32B-Preview`, `Qwen/Qwen2-7B-Instruct`, `Qwen/Qwen2-7B`, etc. | ✅︎ | ✅︎ |
 | `Qwen2MoeForCausalLM` | Qwen2MoE | `Qwen/Qwen1.5-MoE-A2.7B`, `Qwen/Qwen1.5-MoE-A2.7B-Chat`, etc. | ✅︎ | ✅︎ |
 | `Qwen3ForCausalLM` | Qwen3 | `Qwen/Qwen3-8B`, etc. | ✅︎ | ✅︎ |
@@ -620,7 +619,6 @@ These models primarily accept the [`LLM.generate`](./generative_models.md#llmgen
 | `Phi4ForCausalLMV` | Phi-4-reasoning-vision | T + I<sup>+</sup> | `microsoft/Phi-4-reasoning-vision-15B`, etc. | | ✅︎ |
 | `PixtralForConditionalGeneration` | Ministral 3 (Mistral format), Mistral 3 (Mistral format), Mistral Large 3 (Mistral format), Pixtral (Mistral format) | T + I<sup>+</sup> | `mistralai/Ministral-3-3B-Instruct-2512`, `mistralai/Mistral-Small-3.1-24B-Instruct-2503`, `mistralai/Mistral-Large-3-675B-Instruct-2512` `mistralai/Pixtral-12B-2409` etc. | ✅︎ | ✅︎ |
 | `QianfanOCRForConditionalGeneration` | QianfanOCR | T + I<sup>E+</sup> | `baidu/Qianfan-OCR`, etc. | ✅︎ | ✅︎ |
-| `QwenVLForConditionalGeneration`<sup>^</sup> | Qwen-VL | T + I<sup>E+</sup> | `Qwen/Qwen-VL`, `Qwen/Qwen-VL-Chat`, etc. | ✅︎ | ✅︎ |
 | `Qwen2AudioForConditionalGeneration` | Qwen2-Audio | T + A<sup>+</sup> | `Qwen/Qwen2-Audio-7B-Instruct` | | ✅︎ |
 | `Qwen2VLForConditionalGeneration` <sup>Q</sup> | QVQ, Qwen2-VL | T + I<sup>E+</sup> + V<sup>E+</sup> | `Qwen/QVQ-72B-Preview`, `Qwen/Qwen2-VL-7B-Instruct`, `Qwen/Qwen2-VL-72B-Instruct`, etc. | ✅︎ | ✅︎ |
 | `Qwen2_5_VLForConditionalGeneration` <sup>Q</sup> | Qwen2.5-VL | T + I<sup>E+</sup> + V<sup>E+</sup> | `Qwen/Qwen2.5-VL-3B-Instruct`, `Qwen/Qwen2.5-VL-72B-Instruct`, etc. | ✅︎ | ✅︎ |

examples/generate/multimodal/vision_language_multi_image_offline.py

@@ -1042,49 +1042,6 @@ def load_phi4siglip(question: str, image_urls: list[str]) -> ModelRequestData:
     )
 
 
-def load_qwen_vl_chat(question: str, image_urls: list[str]) -> ModelRequestData:
-    model_name = "Qwen/Qwen-VL-Chat"
-    engine_args = EngineArgs(
-        model=model_name,
-        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" for i, _ in enumerate(image_urls, start=1)
-    )
-
-    # This model does not have a chat_template attribute on its tokenizer,
-    # so we need to explicitly pass it. We use ChatML since it's used in the
-    # generation utils of the model:
-    # https://huggingface.co/Qwen/Qwen-VL-Chat/blob/main/qwen_generation_utils.py#L265
-    tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
-
-    # Copied from: https://huggingface.co/docs/transformers/main/en/chat_templating
-    chat_template = "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"  # noqa: E501
-
-    messages = [{"role": "user", "content": f"{placeholders}\n{question}"}]
-    prompt = tokenizer.apply_chat_template(
-        messages,
-        tokenize=False,
-        add_generation_prompt=True,
-        chat_template=chat_template,
-    )
-
-    stop_tokens = ["<|endoftext|>", "<|im_start|>", "<|im_end|>"]
-    stop_token_ids = [tokenizer.convert_tokens_to_ids(i) for i in stop_tokens]
-
-    return ModelRequestData(
-        engine_args=engine_args,
-        prompt=prompt,
-        stop_token_ids=stop_token_ids,
-        image_data=[fetch_image(url) for url in image_urls],
-        chat_template=chat_template,
-    )
-
-
 def load_qwen2_vl(question: str, image_urls: list[str]) -> ModelRequestData:
     try:
         from qwen_vl_utils import smart_resize
@@ -1544,7 +1501,6 @@ def load_molmo2(question: str, image_urls: list[str]) -> ModelRequestData:
     "phi4_mm": load_phi4mm,
     "phi4_siglip": load_phi4siglip,
     "pixtral_hf": load_pixtral_hf,
-    "qwen_vl_chat": load_qwen_vl_chat,
     "qwen2_vl": load_qwen2_vl,
     "qwen2_5_vl": load_qwen2_5_vl,
     "rvl": load_r_vl,

examples/generate/multimodal/vision_language_offline.py

@@ -1938,27 +1938,6 @@ def run_pixtral_hf(questions: list[str], modality: str) -> ModelRequestData:
     )
 
 
-# Qwen-VL
-def run_qwen_vl(questions: list[str], modality: str) -> ModelRequestData:
-    assert modality == "image"
-
-    engine_args = EngineArgs(
-        model="Qwen/Qwen-VL",
-        trust_remote_code=True,
-        max_model_len=1024,
-        max_num_seqs=2,
-        hf_overrides={"architectures": ["QwenVLForConditionalGeneration"]},
-        limit_mm_per_prompt={modality: 1},
-    )
-
-    prompts = [f"{question}Picture 1: <img></img>\n" for question in questions]
-
-    return ModelRequestData(
-        engine_args=engine_args,
-        prompts=prompts,
-    )
-
-
 # Qwen2-VL
 def run_qwen2_vl(questions: list[str], modality: str) -> ModelRequestData:
     model_name = "Qwen/Qwen2-VL-7B-Instruct"
@@ -2522,7 +2501,6 @@ def run_tarsier2(questions: list[str], modality: str) -> ModelRequestData:
     "phi4_mm": run_phi4mm,
     "phi4_siglip": run_phi4siglip,
     "pixtral_hf": run_pixtral_hf,
-    "qwen_vl": run_qwen_vl,
     "qwen2_vl": run_qwen2_vl,
     "qwen2_5_vl": run_qwen2_5_vl,
     "qwen2_5_omni": run_qwen2_5_omni,

tests/models/registry.py

@@ -505,14 +505,6 @@ def check_available_online(
         "pfnet/plamo-3-nict-2b-base",
         trust_remote_code=True,
     ),
-    "QWenLMHeadModel": _HfExamplesInfo(
-        "Qwen/Qwen-7B-Chat",
-        max_transformers_version="4.53",
-        transformers_version_reason={
-            "hf": "HF model uses remote code that is not compatible with latest Transformers"  # noqa: E501
-        },
-        trust_remote_code=True,
-    ),
     "Qwen2ForCausalLM": _HfExamplesInfo(
         "Qwen/Qwen2-0.5B-Instruct",
         extras={
@@ -1304,16 +1296,6 @@ def check_available_online(
         "baidu/Qianfan-OCR",
         min_transformers_version="5.6.0",
     ),
-    "QwenVLForConditionalGeneration": _HfExamplesInfo(
-        "Qwen/Qwen-VL",
-        extras={"chat": "Qwen/Qwen-VL-Chat"},
-        trust_remote_code=True,
-        max_transformers_version="4.53.3",
-        transformers_version_reason={
-            "hf": "HF model uses deprecated imports which have been removed."
-        },  # noqa: E501
-        hf_overrides={"architectures": ["QwenVLForConditionalGeneration"]},
-    ),
     "Qwen2AudioForConditionalGeneration": _HfExamplesInfo(
         "Qwen/Qwen2-Audio-7B-Instruct"
     ),

vllm/config/model.py

@@ -618,8 +618,6 @@ def __post_init__(
                 self.tokenizer_mode = "grok2"
             elif arch == "MoonshotKimiaForCausalLM":
                 self.tokenizer_mode = "kimi_audio"
-            elif arch == "QwenVLForConditionalGeneration":
-                self.tokenizer_mode = "qwen_vl"
             elif arch == "DeepseekV32ForCausalLM":
                 self.tokenizer_mode = "deepseek_v32"
             elif arch == "DeepseekV4ForCausalLM":