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 ## ✅ Introduction
 The Dolphin model employs a **Swin Encoder + MBart Decoder** architecture. In the HuggingFace Transformers [Config](https://huggingface.co/ByteDance/Dolphin/blob/main/config.json), 
-its architectures field is specified as "VisionEncoderDecoderModel". Dolphin, Nougat, and Donut share the same model architecture. TensorRT-LLM has already supported the Nougat model. 
+its architectures field is specified as "VisionEncoderDecoderModel". **Dolphin**, **[Nougat](https://huggingface.co/docs/transformers/model_doc/nougat)**, and **[Donut](https://huggingface.co/docs/transformers/model_doc/donut)** share the same model architecture. TensorRT-LLM has already supported the Nougat model. 
 Following Nougat's conversion script, we have successfully implemented Dolphin on TensorRT-LLM. 
 
 **Note:** [prompt_ids](./dolphin_runner.py#L120) MUST be of **int32** type, otherwise TensorRT-LLM will produce incorrect results.