[Usage]: The multimodal feature in TensorRT-LLM is just a demo, and I see it only supports Qwen2-VL. If I want to deploy Qwen2.5-VL or Qwen3-VL, do I need to develop it myself? Will the official team not adapt it for new models going forward?

System Info

System Information:

• OS:
• Python version:
• CUDA version:
• GPU model(s):
• Driver version:
• TensorRT-LLM version:

Detailed output:

Paste the output of the above commands here

How would you like to use TensorRT-LLM

I want to run inference of a [specific model](put Hugging Face link here). I don't know how to integrate it with TensorRT-LLM or optimize it for my use case.

Specific questions:

• Model:
• Use case (e.g., chatbot, batch inference, real-time serving):
• Expected throughput/latency requirements:
• Multi-GPU setup needed:

Before submitting a new issue...

• Make sure you already searched for relevant issues, and checked the documentation and examples for answers to frequently asked questions.

Start with the TensorRT-LLM documentation and examples linked in the issue, then review the multimodal demo's stated model coverage. Confirm whether Qwen2.5-VL and Qwen3-VL are supported or identify the official guidance for adding them. Done means the issue has a concrete support or documentation answer.