diff --git a/README.md b/README.md
index a77a938..cd590b3 100755
--- a/README.md
+++ b/README.md
@@ -17,7 +17,6 @@
   <a href="https://www.deepseek.com/" target="_blank">
     <img alt="Homepage" src="images/badge.svg" />
   </a>
-  </a>
   <a href="https://huggingface.co/deepseek-ai" target="_blank">
     <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" />
   </a>
@@ -66,7 +65,7 @@
 
 **2024.11.13**: JanusFlow is released, a new unified model with rectified flow for image generation. See [paper](https://arxiv.org/abs/2411.07975), [demo](https://huggingface.co/spaces/deepseek-ai/JanusFlow-1.3B) and [usage](https://github.com/deepseek-ai/Janus?tab=readme-ov-file#janusflow).
 
-**2024.10.23**: Evaluation code for reproducing the multimodal understanding results from the paper has been added to VLMEvalKit. Please refer to [this link]( https://github.com/open-compass/VLMEvalKit/pull/541).
+**2024.10.23**: Evaluation code for reproducing the multimodal understanding results from the paper has been added to VLMEvalKit. Please refer to [this link](https://github.com/open-compass/VLMEvalKit/pull/541).
 
 **2024.10.20**: (1) Fix a bug in [tokenizer_config.json](https://huggingface.co/deepseek-ai/Janus-1.3B/blob/main/tokenizer_config.json). The previous version caused classifier-free guidance to not function properly, resulting in relatively poor visual generation quality. (2) Release Gradio demo ([online demo](https://huggingface.co/spaces/deepseek-ai/Janus-1.3B) and  [local](#gradio-demo)).
 
@@ -165,10 +164,10 @@ prepare_inputs = vl_chat_processor(
     conversations=conversation, images=pil_images, force_batchify=True
 ).to(vl_gpt.device)
 
-# # run image encoder to get the image embeddings
+# run image encoder to get the image embeddings
 inputs_embeds = vl_gpt.prepare_inputs_embeds(**prepare_inputs)
 
-# # run the model to get the response
+# run the model to get the response
 outputs = vl_gpt.language_model.generate(
     inputs_embeds=inputs_embeds,
     attention_mask=prepare_inputs.attention_mask,