[Model] Add Ernie4.5 VL model support (#15679)

Signed-off-by: CSWYF3634076 <wangyafeng@baidu.com>
Signed-off-by: wangyafeng <wangyafeng@baidu.com>

docs/supported_models/multimodal_language_models.md

@@ -46,6 +46,7 @@ in the GitHub search bar.
 | **DotsVLM-OCR**            | `rednote-hilab/dots.ocr`                   | Specialized OCR variant of DotsVLM optimized for optical character recognition tasks with enhanced text extraction and document understanding capabilities. | Don't use `--trust-remote-code` |
 | **NVILA** (8B, 15B, Lite-2B, Lite-8B, Lite-15B) | `Efficient-Large-Model/NVILA-8B` | `chatml` | NVILA explores the full stack efficiency of multi-modal design, achieving cheaper training, faster deployment and better performance. |
 | **NVIDIA Nemotron Nano 2.0 VL** | `nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16` | NVIDIA Nemotron Nano v2 VL enables multi-image reasoning and video understanding, along with strong document intelligence, visual Q&A and summarization capabilities. It builds on Nemotron Nano V2, a hybrid Mamba-Transformer LLM, in order to achieve higher inference throughput in long document and video scenarios. | Use `--trust-remote-code`. You may need to adjust `--max-mamba-cache-size` [default is 512] to fit memory constraints. |
+| **Ernie4.5-VL** | `baidu/ERNIE-4.5-VL-28B-A3B-PT`              | Baidu's vision-language models(28B,424B). Support image and video comprehension, and also support thinking.                                                                     |  |
 | **JetVLM** |  | JetVLM is an vision-language model designed for high-performance multimodal understanding and generation tasks built upon Jet-Nemotron. | Coming soon |
 
 ## Video Input Support