Update README.md

README.md

@@ -409,10 +409,10 @@ Many repositories now support fine-tuning of the InternVL series models, includi
 
 ### LMDeploy
 
-LMDeploy is a toolkit for compressing, deploying, and serving LLM, developed by the MMRazor and MMDeploy teams.
+LMDeploy is a toolkit for compressing, deploying, and serving LLMs & VLMs.
 
 ```sh
-pip install lmdeploy>=0.5.3
+pip install lmdeploy>=0.6.4
 ```
 
 LMDeploy abstracts the complex inference process of multi-modal Vision-Language Models (VLM) into an easy-to-use pipeline, similar to the Large Language Model (LLM) inference pipeline.
@@ -501,7 +501,7 @@ print(sess.response.text)
 LMDeploy's `api_server` enables models to be easily packed into services with a single command. The provided RESTful APIs are compatible with OpenAI's interfaces. Below are an example of service startup:
 
 ```shell
-lmdeploy serve api_server OpenGVLab/Mini-InternVL-Chat-2B-V1-5 --backend turbomind --server-port 23333
+lmdeploy serve api_server OpenGVLab/Mini-InternVL-Chat-2B-V1-5 --server-port 23333
 ```
 
 To use the OpenAI-style interface, you need to install OpenAI: