OpenGVLab
/

InternVL2-2B-AWQ

Image-Text-to-Text

feature-extraction

Model card Files Files and versions Community

unsubscribe commited on Jul 5

Commit

fb4929b

•

1 Parent(s): 673d516

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -68,7 +68,7 @@ Please overview [this guide](https://opencompass.readthedocs.io/en/latest/advanc
 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/InternVL-Chat-V1-5-AWQ --backend turbomind --model-format awq --chat-template chat_template.json
 ```
 The default port of `api_server` is `23333`. After the server is launched, you can communicate with server on terminal through `api_client`:

 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/InternVL2-2B-AWQ --backend turbomind --model-format awq --chat-template chat_template.json
 ```
 The default port of `api_server` is `23333`. After the server is launched, you can communicate with server on terminal through `api_client`: