Update README.md

README.md

@@ -23,6 +23,7 @@ MMDocRAG is built for (i) multimodal document retrieval and (ii) retrieval-augme
   - [MMDocRAG](https://huggingface.co/datasets/MMDocIR/MMDocRAG): 4,055 expert-annotated questions and multimodal answer.
   - [MMDocRAG Training](https://huggingface.co/datasets/MMDocIR/MMDocRAG/blob/main/train.jsonl): 4,110 training samples derived from dev set.
   - [Retriever Checkpoints](https://huggingface.co/MMDocIR/MMDocIR_Retrievers): 6 text and 4 vision retrievers.
+  - Trained models are: [MMDocRAG_Qwen2.5-3B-Instruct_lora](https://huggingface.co/MMDocIR/MMDocRAG_Qwen2.5-3B-Instruct_lora), [MMDocRAG_Qwen2.5-7B-Instruct_lora](https://huggingface.co/MMDocIR/MMDocRAG_Qwen2.5-7B-Instruct_lora), [MMDocRAG_Qwen2.5-14B-Instruct_lora](https://huggingface.co/MMDocIR/MMDocRAG_Qwen2.5-14B-Instruct_lora), [MMDocRAG_Qwen2.5-32B-Instruct_lora](https://huggingface.co/MMDocIR/MMDocRAG_Qwen2.5-32B-Instruct_lora), and [MMDocRAG_Qwen2.5-72B-Instruct_lora](https://huggingface.co/MMDocIR/MMDocRAG_Qwen2.5-72B-Instruct_lora).