Update README.md

README.md

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 ## Introduction
 **InfiMed-SFT-3B** is a versatile, medical-focused Multimodal Large Language Model (MLLM) developed by the InfiXAI team, leveraging the [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) framework. 
 **InfiMed-RL-3B**, built upon InfiMed-SFT-3B, is further refined using [EasyR1](https://github.com/hiyouga/EasyR1).
-These models outperform larger-scale general-purpose models like Qwen2.5-VL-7B and InternVL2.5-8B, as well as specialized medical open-source models such as MedGemma-4B-IT and HuatuoGPT-V-7B. 
+These models outperform larger-scale general-purpose models like Qwen2.5-VL-7B-Instruct and InternVL2.5-8B, as well as specialized medical open-source models such as MedGemma-4B-IT and HuatuoGPT-V-7B. 
 Both InfiMed-SFT-3B and InfiMed-RL-3B deliver high performance as a resource-efficient MLLM, ensuring accessibility and affordability for a broad audience.
 We invite you to explore its capabilities and welcome inquiries or collaboration opportunities.
 
 ## Evaluation Results
-We evaluated our model on [MedEvalKit](https://github.com/alibaba-damo-academy/MedEvalKit), using Qwen2.5-72B as the judge model. 
+We evaluated our model on [MedEvalKit](https://github.com/alibaba-damo-academy/MedEvalKit), using Qwen2.5-72B-Instruct as the judge model. 
 The results are as follows.