Use info instead of warning

docs/source/models/supported_models.rst

@@ -294,6 +294,10 @@ Text Embedding
     - 
     - ✅︎
 
+.. important::
+  Some model architectures supports both generation and embedding tasks.
+  In this case, you have to pass :code:`--task embed` to run the model in embedding mode.
+
 Reward Modeling
 ---------------
 
@@ -424,7 +428,7 @@ Text Generation
     - :code:`google/paligemma-3b-pt-224`, :code:`google/paligemma-3b-mix-224`, etc.
     - 
     - ✅︎
-  * - :code:`Phi3VForCausalLM` (see note)
+  * - :code:`Phi3VForCausalLM`
     - Phi-3-Vision, Phi-3.5-Vision
     - T + I\ :sup:`E+`
     - :code:`microsoft/Phi-3-vision-128k-instruct`, :code:`microsoft/Phi-3.5-vision-instruct` etc.
@@ -462,10 +466,6 @@ Text Generation
   For :code:`openbmb/MiniCPM-V-2`, the official repo doesn't work yet, so we need to use a fork (:code:`HwwwH/MiniCPM-V-2`) for now.
   For more details, please see: https://github.com/vllm-project/vllm/pull/4087#issuecomment-2250397630
 
-.. note::
-  The :code:`Phi3VForCausalLM` architecture supports both generation and embedding tasks.
-  For text generation, please pass (:code:`--task generate`) to run the model in generation mode.
-
 Multimodal Embedding
 --------------------
 
@@ -479,16 +479,16 @@ Multimodal Embedding
     - Example HF Models
     - :ref:`LoRA <lora>`
     - :ref:`PP <distributed_serving>`
-  * - :code:`Phi3VForCausalLM` (see note)
+  * - :code:`Phi3VForCausalLM`
     - Phi-3-Vision-based
     - T + I
     - :code:`TIGER-Lab/VLM2Vec-Full`
     - 🚧
     - ✅︎
 
-.. note::
-  The :code:`Phi3VForCausalLM` architecture supports both generation and embedding tasks.
-  For text generation, please pass (:code:`--task embed`) to run the model in embedding mode.
+.. important::
+  Some model architectures supports both generation and embedding tasks.
+  In this case, you have to pass :code:`--task embed` to run the model in embedding mode.
 
 ----
 

vllm/config.py

@@ -1,6 +1,5 @@
 import enum
 import json
-import warnings
 from dataclasses import dataclass, field, fields
 from typing import (TYPE_CHECKING, Any, ClassVar, Dict, Final, List, Literal,
                     Mapping, Optional, Set, Tuple, Type, Union)
@@ -274,12 +273,9 @@ def _resolve_task(
             task = next(iter(supported_tasks))
 
             if len(supported_tasks) > 1:
-                msg = (
-                    f"This model supports multiple tasks: {supported_tasks}. "
-                    f"Defaulting to '{task}'. As this behavior may change in "
-                    "the future, please specify one explicitly via `--task`.")
-
-                warnings.warn(msg, stacklevel=2)
+                logger.info(
+                    "This model supports multiple tasks: %s. "
+                    "Defaulting to '%s'.", supported_tasks, task)
         else:
             if task_option not in supported_tasks:
                 msg = (