[bugfix] Fix some docs' bug in 'serving' (#109)

* [bugfix] Fix some docs' bug in 'serving'

* [bugfix] Fix some docs' bug in 'serving'

README.md

@@ -93,13 +93,13 @@ bash workspace/service_docker_up.sh
 Then, you can communicate with the inference server by command line,
 
 ```shell
-python3 lmdeploy.serve.client {server_ip_addresss}:33337 internlm
+python3 -m lmdeploy.serve.client {server_ip_addresss}:33337 internlm
 ```
 
 or webui,
 
 ```
-python3 lmdeploy.app {server_ip_addresss}:33337 internlm
+python3 -m lmdeploy.app {server_ip_addresss}:33337 internlm
 ```
 
 ![](https://github.com/InternLM/lmdeploy/assets/67539920/08d1e6f2-3767-44d5-8654-c85767cec2ab)

README_zh-CN.md

@@ -92,13 +92,13 @@ bash workspace/service_docker_up.sh
 你可以通过命令行方式与推理服务进行对话：
 
 ```shell
-python3 lmdeploy.serve.client {server_ip_addresss}:33337 internlm
+python3 -m lmdeploy.serve.client {server_ip_addresss}:33337 internlm
 ```
 
 也可以通过 WebUI 方式来对话：
 
 ```
-python3 lmdeploy.app {server_ip_addresss}:33337 internlm
+python3 -m lmdeploy.app {server_ip_addresss}:33337 internlm
 ```
 
 ![](https://github.com/InternLM/lmdeploy/assets/67539920/08d1e6f2-3767-44d5-8654-c85767cec2ab)

docs/en/serving.md

@@ -60,7 +60,7 @@ python3 -m fastchat.model.apply_delta \
   --target-model-path /path/to/vicuna-7b \
   --delta-path lmsys/vicuna-7b-delta-v1.1
 
-python3 lmdeploy/serve/turbomind/deploy.py vicuna-7B /path/to/vicuna-7b hf
+python3 -m lmdeploy.serve.turbomind.deploy vicuna-7B /path/to/vicuna-7b hf
 bash workspace/service_docker_up.sh
 ```
 
@@ -76,7 +76,7 @@ python3 -m fastchat.model.apply_delta \
   --target-model-path /path/to/vicuna-13b \
   --delta-path lmsys/vicuna-13b-delta-v1.1
 
-python3 lmdeploy/serve/turbomind/deploy.py vicuna-13B /path/to/vicuna-13b hf
+python3 -m lmdeploy.serve.turbomind.deploy vicuna-13B /path/to/vicuna-13b hf
 bash workspace/service_docker_up.sh
 ```
 

docs/zh_cn/serving.md

@@ -8,7 +8,7 @@
 <summary><b>7B</b></summary>
 
 ```shell
-python3 lmdeploy.serve.turbomind.deploy llama-7B /path/to/llama-7b llama \
+python3 -m lmdeploy.serve.turbomind.deploy llama-7B /path/to/llama-7b llama \
     --tokenizer_path /path/to/tokenizer/model
 bash workspace/service_docker_up.sh
 ```
@@ -19,7 +19,7 @@ bash workspace/service_docker_up.sh
 <summary><b>13B</b></summary>
 
 ```shell
-python3 lmdeploy.serve.turbomind.deploy llama-13B /path/to/llama-13b llama \
+python3 -m lmdeploy.serve.turbomind.deploy llama-13B /path/to/llama-13b llama \
     --tokenizer_path /path/to/tokenizer/model --tp 2
 bash workspace/service_docker_up.sh
 ```
@@ -30,7 +30,7 @@ bash workspace/service_docker_up.sh
 <summary><b>30B</b></summary>
 
 ```shell
-python3 lmdeploy.serve.turbomind.deploy llama-32B /path/to/llama-30b llama \
+python3 -m lmdeploy.serve.turbomind.deploy llama-32B /path/to/llama-30b llama \
     --tokenizer_path /path/to/tokenizer/model --tp 4
 bash workspace/service_docker_up.sh
 ```
@@ -41,7 +41,7 @@ bash workspace/service_docker_up.sh
 <summary><b>65B</b></summary>
 
 ```shell
-python3 lmdeploy.serve.turbomind.deploy llama-65B /path/to/llama-65b llama \
+python3 -m lmdeploy.serve.turbomind.deploy llama-65B /path/to/llama-65b llama \
     --tokenizer_path /path/to/tokenizer/model --tp 8
 bash workspace/service_docker_up.sh
 ```
@@ -60,7 +60,7 @@ python3 -m fastchat.model.apply_delta \
   --target-model-path /path/to/vicuna-7b \
   --delta-path lmsys/vicuna-7b-delta-v1.1
 
-python3 lmdeploy/serve/turbomind/deploy.py vicuna-7B /path/to/vicuna-7b hf
+python3 -m lmdeploy.serve.turbomind.deploy vicuna-7B /path/to/vicuna-7b hf
 bash workspace/service_docker_up.sh
 ```
 
@@ -76,7 +76,7 @@ python3 -m fastchat.model.apply_delta \
   --target-model-path /path/to/vicuna-13b \
   --delta-path lmsys/vicuna-13b-delta-v1.1
 
-python3 lmdeploy/serve/turbomind/deploy.py vicuna-13B /path/to/vicuna-13b hf
+python3 -m lmdeploy.serve.turbomind.deploy vicuna-13B /path/to/vicuna-13b hf
 bash workspace/service_docker_up.sh
 ```