[VLM] Separate text-only and vision variants of the same model architecture

docs/source/models/supported_models.md

@@ -699,10 +699,10 @@ See [this page](#generative-models) for more information on how to use generativ
   *
   * ✅︎
   * ✅︎
-- * `DeepseekVLV2ForCausalLM`
+- * `DeepseekVLV2ForCausalLM`<sup>^</sup>
   * DeepSeek-VL2
   * T + I<sup>+</sup>
-  * `deepseek-ai/deepseek-vl2-tiny`, `deepseek-ai/deepseek-vl2-small`, `deepseek-ai/deepseek-vl2` etc. (see note)
+  * `deepseek-ai/deepseek-vl2-tiny`, `deepseek-ai/deepseek-vl2-small`, `deepseek-ai/deepseek-vl2` etc.
   *
   * ✅︎
   * ✅︎
@@ -713,10 +713,10 @@ See [this page](#generative-models) for more information on how to use generativ
   *
   * ✅︎
   * ✅︎
-- * `ChatGLMModel`
+- * `GLM4VForCausalLM`<sup>^</sup>
   * GLM-4V
   * T + I
-  * `THUDM/glm-4v-9b` etc.
+  * `THUDM/glm-4v-9b`, `THUDM/cogagent-9b-20241220` etc.
   * ✅︎
   * ✅︎
   * ✅︎
@@ -825,7 +825,7 @@ See [this page](#generative-models) for more information on how to use generativ
   *
   * ✅︎
   * ✅︎
-- * `QWenLMHeadModel`
+- * `QwenVLForConditionalGeneration`<sup>^</sup>
   * Qwen-VL
   * T + I<sup>E+</sup>
   * `Qwen/Qwen-VL`, `Qwen/Qwen-VL-Chat`, etc.
@@ -862,13 +862,12 @@ See [this page](#generative-models) for more information on how to use generativ
   * ✅︎
 :::
 
+<sup>^</sup> You need to set the architecture name via `--hf-overrides` to match the one in vLLM.  
+&nbsp;&nbsp;&nbsp;&nbsp;• For example, to use DeepSeek-VL2 series models:  
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`--hf-overrides '{"architectures": ["DeepseekVLV2ForCausalLM"]}'`  
 <sup>E</sup> Pre-computed embeddings can be inputted for this modality.  
 <sup>+</sup> Multiple items can be inputted per text prompt for this modality.
 
-:::{note}
-To use DeepSeek-VL2 series models, you have to pass `--hf_overrides '{"architectures": ["DeepseekVLV2ForCausalLM"]}'` when running vLLM.
-:::
-
 :::{note}
 H2O-VL series models will be available in V1 once we support backends other than FlashAttention.
 :::

examples/offline_inference/vision_language.py

@@ -105,7 +105,9 @@ def run_glm4v(question: str, modality: str):
               max_num_seqs=2,
               trust_remote_code=True,
               enforce_eager=True,
+              hf_overrides={"architectures": ["GLM4VForCausalLM"]},
               disable_mm_preprocessor_cache=args.disable_mm_preprocessor_cache)
+
     prompt = f"<|user|>\n<|begin_of_image|><|endoftext|><|end_of_image|>\
         {question}<|assistant|>"
 
@@ -495,6 +497,7 @@ def run_qwen_vl(question: str, modality: str):
         trust_remote_code=True,
         max_model_len=1024,
         max_num_seqs=2,
+        hf_overrides={"architectures": ["QwenVLForConditionalGeneration"]},
         disable_mm_preprocessor_cache=args.disable_mm_preprocessor_cache,
     )
 

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,