diff --git a/runtime/docs/SDK_advanced_guide_offline.md b/runtime/docs/SDK_advanced_guide_offline.md
index 1ce947274..d196710f7 100644
--- a/runtime/docs/SDK_advanced_guide_offline.md
+++ b/runtime/docs/SDK_advanced_guide_offline.md
@@ -3,38 +3,19 @@
 FunASR provides a Chinese offline file transcription service that can be deployed locally or on a cloud server with just one click. The core of the service is the FunASR runtime SDK, which has been open-sourced. FunASR-runtime combines various capabilities such as speech endpoint detection (VAD), large-scale speech recognition (ASR) using Paraformer-large, and punctuation detection (PUNC), which have all been open-sourced by the speech laboratory of DAMO Academy on the Modelscope community. This enables accurate and efficient high-concurrency transcription of audio files.
 
 This document serves as a development guide for the FunASR offline file transcription service. If you wish to quickly experience the offline file transcription service, please refer to the one-click deployment example for the FunASR offline file transcription service ([docs](./SDK_tutorial.md)).
+<img src="docs/images/offline_structure.jpg"  width="900"/>
 
-## Installation of Docker
-
-The following steps are for manually installing Docker and Docker images. If your Docker image has already been launched, you can ignore this step.
-
-### Installation of Docker environment
-
+## Quick start
+### Docker install
+If you have already installed Docker, ignore this step!
 ```shell
-# Ubuntu：
-curl -fsSL https://test.docker.com -o test-docker.sh 
-sudo sh test-docker.sh 
-# Debian：
-curl -fsSL https://get.docker.com -o get-docker.sh 
-sudo sh get-docker.sh 
-# CentOS：
-curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun 
-# MacOS：
-brew install --cask --appdir=/Applications docker
-```
-
-More details could ref to [docs](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
-
-### Starting Docker
-
-```shell
-sudo systemctl start docker
+curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh;
+sudo bash install_docker.sh
 ```
+If you do not have Docker installed, please refer to [Docker Installation](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
 
 ### Pulling and launching images
-
 Use the following command to pull and launch the Docker image for the FunASR runtime-SDK:
-
 ```shell
 sudo docker pull registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
 
@@ -46,11 +27,9 @@ Introduction to command parameters:
 -p <host port>:<mapped docker port>: In the example, host machine (ECS) port 10095 is mapped to port 10095 in the Docker container. Make sure that port 10095 is open in the ECS security rules.
 
 -v <host path>:<mounted Docker path>: In the example, the host machine path /root is mounted to the Docker path /workspace/models.
-
 ```
 
-## Starting the server
-
+### Starting the server
 Use the flollowing script to start the server ：
 ```shell
 nohup bash run_server.sh \
@@ -59,7 +38,8 @@ nohup bash run_server.sh \
   --model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx  \
   --punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
   --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
-  --itn-dir thuduj12/fst_itn_zh > log.out 2>&1 &
+  --itn-dir thuduj12/fst_itn_zh \
+  --hotword /workspace/models/hotwords.txt > log.out 2>&1 &
 
 # If you want to close ssl，please add：--certfile 0
 # If you want to deploy the timestamp or nn hotword model, please set --model-dir to the corresponding model:
@@ -67,7 +47,6 @@ nohup bash run_server.sh \
 #   damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx（hotword）
 # If you want to load hotwords on the server side, please configure the hotwords in the host machine file ./funasr-runtime-resources/models/hotwords.txt (docker mapping address: /workspace/models/hotwords.txt):
 # One hotword per line, format (hotword weight): 阿里巴巴 20"
-
 ```
 
 ### More details about the script run_server.sh:
@@ -92,7 +71,6 @@ nohup bash run_server.sh \
  ```
 
 Introduction to run_server.sh parameters: 
-
 ```text
 --download-model-dir: Model download address, download models from Modelscope by setting the model ID.
 --model-dir: Modelscope model ID.
@@ -141,19 +119,14 @@ After executing the above command, the real-time speech transcription service wi
 
 If you wish to deploy your fine-tuned model (e.g., 10epoch.pb), you need to manually rename the model to model.pb and replace the original model.pb in ModelScope. Then, specify the path as `model_dir`.
 
-
-
 ## Starting the client
-
 After completing the deployment of FunASR offline file transcription service on the server, you can test and use the service by following these steps. Currently, FunASR-bin supports multiple ways to start the client. The following are command-line examples based on python-client, c++-client, and custom client Websocket communication protocol: 
 
 ### python-client
 ```shell
 python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "./data/wav.scp" --send_without_sleep --output_dir "./results"
 ```
-
 Introduction to command parameters:
-
 ```text
 --host: the IP address of the server. It can be set to 127.0.0.1 for local testing.
 --port: the port number of the server listener.
@@ -171,7 +144,6 @@ Introduction to command parameters:
 ```
 
 Introduction to command parameters:
-
 ```text
 --server-ip: the IP address of the server. It can be set to 127.0.0.1 for local testing.
 --port: the port number of the server listener.
@@ -182,19 +154,15 @@ Introduction to command parameters:
 ```
 
 ### Custom client
-
 If you want to define your own client, see the [Websocket communication protocol](./websocket_protocol.md)
 
 ## How to customize service deployment
-
 The code for FunASR-runtime is open source. If the server and client cannot fully meet your needs, you can further develop them based on your own requirements:
 
 ### C++ client
-
 https://github.com/alibaba-damo-academy/FunASR/tree/main/runtime/websocket
 
 ### Python client
-
 https://github.com/alibaba-damo-academy/FunASR/tree/main/runtime/python/websocket
 
 ### C++ server
@@ -218,7 +186,6 @@ FUNASR_HANDLE asr_hanlde=FunOfflineInit(model_path, thread_num);
 FUNASR_RESULT result=FunOfflineInfer(asr_hanlde, wav_file.c_str(), RASR_NONE, NULL, 16000);
 // Where: asr_hanlde is the return value of FunOfflineInit, wav_file is the path to the audio file, and sampling_rate is the sampling rate (default 16k).
 ```
-
 See the usage example for details, [docs](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/onnxruntime/bin/funasr-onnx-offline.cpp)
 
 #### PUNC
diff --git a/runtime/docs/SDK_advanced_guide_offline_en.md b/runtime/docs/SDK_advanced_guide_offline_en.md
index 6d4bf9c3f..42bc52dde 100644
--- a/runtime/docs/SDK_advanced_guide_offline_en.md
+++ b/runtime/docs/SDK_advanced_guide_offline_en.md
@@ -4,43 +4,22 @@ FunASR provides a English offline file transcription service that can be deploye
 
 This document serves as a development guide for the FunASR offline file transcription service. If you wish to quickly experience the offline file transcription service, please refer to the one-click deployment example for the FunASR offline file transcription service ([docs](./SDK_tutorial.md)).
 
-## Installation of Docker
-
-The following steps are for manually installing Docker and Docker images. If your Docker image has already been launched, you can ignore this step.
-
-### Installation of Docker environment
-
+## Quick start
+### Docker install
+If you have already installed Docker, ignore this step!
 ```shell
-# Ubuntu：
-curl -fsSL https://test.docker.com -o test-docker.sh 
-sudo sh test-docker.sh 
-# Debian：
-curl -fsSL https://get.docker.com -o get-docker.sh 
-sudo sh get-docker.sh 
-# CentOS：
-curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun 
-# MacOS：
-brew install --cask --appdir=/Applications docker
-```
-
-More details could ref to [docs](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
-
-### Starting Docker
-
-```shell
-sudo systemctl start docker
+curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh;
+sudo bash install_docker.sh
 ```
+If you do not have Docker installed, please refer to [Docker Installation](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
 
 ### Pulling and launching images
-
 Use the following command to pull and launch the Docker image for the FunASR runtime-SDK:
-
 ```shell
 sudo docker pull registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-en-cpu-0.1.1
 
 sudo docker run -p 10097:10095 -it --privileged=true -v /root:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-en-cpu-0.1.1
 ```
-
 Introduction to command parameters: 
 ```text
 -p <host port>:<mapped docker port>: In the example, host machine (ECS) port 10097 is mapped to port 10095 in the Docker container. Make sure that port 10097 is open in the ECS security rules.
@@ -49,9 +28,7 @@ Introduction to command parameters:
 
 ```
 
-
-## Starting the server
-
+### Starting the server
 Use the flollowing script to start the server ：
 ```shell
 nohup bash run_server.sh \
@@ -61,11 +38,9 @@ nohup bash run_server.sh \
   --punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx > log.out 2>&1 &
 
 # If you want to close ssl，please add：--certfile 0
-
 ```
 
 ### More details about the script run_server.sh:
-
 The funasr-wss-server supports downloading models from Modelscope. You can set the model download address (--download-model-dir, default is /workspace/models) and the model ID (--model-dir, --vad-dir, --punc-dir). Here is an example:
 
 ```shell
@@ -83,7 +58,6 @@ nohup bash run_server.sh \
  ```
 
 Introduction to run_server.sh parameters: 
-
 ```text
 --download-model-dir: Model download address, download models from Modelscope by setting the model ID.
 --model-dir: Modelscope model ID.
diff --git a/runtime/docs/SDK_advanced_guide_offline_en_zh.md b/runtime/docs/SDK_advanced_guide_offline_en_zh.md
index 11f565ac1..769ab95d0 100644
--- a/runtime/docs/SDK_advanced_guide_offline_en_zh.md
+++ b/runtime/docs/SDK_advanced_guide_offline_en_zh.md
@@ -17,7 +17,6 @@ FunASR提供可一键本地或者云端服务器部署的英文离线文件转
 
 
 ## 快速上手
-
 ### docker安装
 如果您已安装docker，忽略本步骤！!
 通过下述命令在服务器上安装docker：
@@ -25,11 +24,10 @@ FunASR提供可一键本地或者云端服务器部署的英文离线文件转
 curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh；
 sudo bash install_docker.sh
 ```
+docker安装失败请参考 [Docker Installation](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
 
 ### 镜像启动
-
 通过下述命令拉取并启动FunASR runtime-SDK的docker镜像：
-
 ```shell
 sudo docker pull \
   registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-en-cpu-0.1.1
@@ -38,7 +36,6 @@ sudo docker run -p 10097:10095 -it --privileged=true \
   -v $PWD/funasr-runtime-resources/models:/workspace/models \
   registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-en-cpu-0.1.1
 ```
-如果您没有安装docker，可参考[Docker安装](#Docker安装)
 
 ### 服务端启动
 
@@ -67,33 +64,6 @@ python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline --au
 ```
 
 ------------------
-## Docker安装
-
-下述步骤为手动安装docker环境的步骤：
-
-### docker环境安装
-```shell
-# Ubuntu：
-curl -fsSL https://test.docker.com -o test-docker.sh 
-sudo sh test-docker.sh 
-# Debian：
-curl -fsSL https://get.docker.com -o get-docker.sh 
-sudo sh get-docker.sh 
-# CentOS：
-curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun 
-# MacOS：
-brew install --cask --appdir=/Applications docker
-```
-
-安装详见：https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html
-
-### docker启动
-
-```shell
-sudo systemctl start docker
-```
-
-
 ## 客户端用法详解
 
 在服务器上完成FunASR服务部署以后，可以通过如下的步骤来测试和使用离线文件转写服务。
@@ -155,8 +125,6 @@ FunasrWsClient --host localhost --port 10095 --audio_in ./asr_example.wav --mode
 ```
 详细可以参考文档（[点击此处](../java/readme.md)）
 
-
-
 ## 服务端用法详解：
 
 ### 启动FunASR服务
@@ -212,7 +180,6 @@ kill -9 PID
     --certfile 0
 ```
 
-
 执行上述指令后，启动英文离线文件转写服务。如果模型指定为ModelScope中model id，会自动从MoldeScope中下载如下模型：
 [FSMN-VAD模型](https://www.modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-onnx/summary),
 [Paraformer-lagre模型](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-en-16k-common-vocab10020-onnx/summary),
@@ -220,7 +187,6 @@ kill -9 PID
 
 如果，您希望部署您finetune后的模型（例如10epoch.pb），需要手动将模型重命名为model.pb，并将原modelscope中模型model.pb替换掉，将路径指定为`model_dir`即可。
 
-
 ## 如何定制服务部署
 
 FunASR-runtime的代码已开源，如果服务端和客户端不能很好的满足您的需求，您可以根据自己的需求进行进一步的开发：
@@ -236,9 +202,6 @@ https://github.com/alibaba-damo-academy/FunASR/tree/main/runtime/python/websocke
 
 如果您想定义自己的client，参考[websocket通信协议](./websocket_protocol_zh.md)
 
-
-```
-
 ### c++ 服务端：
 
 #### VAD
diff --git a/runtime/docs/SDK_advanced_guide_offline_zh.md b/runtime/docs/SDK_advanced_guide_offline_zh.md
index b4d1e62f0..86766225e 100644
--- a/runtime/docs/SDK_advanced_guide_offline_zh.md
+++ b/runtime/docs/SDK_advanced_guide_offline_zh.md
@@ -3,6 +3,7 @@
 FunASR提供可一键本地或者云端服务器部署的中文离线文件转写服务，内核为FunASR已开源runtime-SDK。FunASR-runtime结合了达摩院语音实验室在Modelscope社区开源的语音端点检测(VAD)、Paraformer-large语音识别(ASR)、标点检测(PUNC) 等相关能力，可以准确、高效的对音频进行高并发转写。
 
 本文档为FunASR离线文件转写服务开发指南。如果您想快速体验离线文件转写服务，可参考[快速上手](#快速上手)。
+<img src="docs/images/offline_structure.jpg"  width="900"/>
 
 ## 服务器配置
 
@@ -25,6 +26,7 @@ FunASR提供可一键本地或者云端服务器部署的中文离线文件转
 curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh；
 sudo bash install_docker.sh
 ```
+docker安装失败请参考 [Docker Installation](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
 
 ### 镜像启动
 
@@ -38,7 +40,6 @@ sudo docker run -p 10095:10095 -it --privileged=true \
   -v $PWD/funasr-runtime-resources/models:/workspace/models \
   registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.3.0
 ```
-如果您没有安装docker，可参考[Docker安装](#Docker安装)
 
 ### 服务端启动
 
@@ -57,7 +58,7 @@ nohup bash run_server.sh \
 # 如果您想关闭ssl，增加参数：--certfile 0
 # 如果您想使用时间戳或者nn热词模型进行部署，请设置--model-dir为对应模型：
 #   damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx（时间戳）
-#   damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx（热词）
+#   damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx（nn热词）
 # 如果您想在服务端加载热词，请在宿主机文件./funasr-runtime-resources/models/hotwords.txt配置热词（docker映射地址为/workspace/models/hotwords.txt）:
 #   每行一个热词，格式(热词 权重)：阿里巴巴 20
 ```
@@ -76,34 +77,6 @@ wget https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/sample/funasr_sa
 python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "../audio/asr_example.wav"
 ```
 
-------------------
-## Docker安装
-
-下述步骤为手动安装docker环境的步骤：
-
-### docker环境安装
-```shell
-# Ubuntu：
-curl -fsSL https://test.docker.com -o test-docker.sh 
-sudo sh test-docker.sh 
-# Debian：
-curl -fsSL https://get.docker.com -o get-docker.sh 
-sudo sh get-docker.sh 
-# CentOS：
-curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun 
-# MacOS：
-brew install --cask --appdir=/Applications docker
-```
-
-安装详见：https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html
-
-### docker启动
-
-```shell
-sudo systemctl start docker
-```
-
-
 ## 客户端用法详解
 
 在服务器上完成FunASR服务部署以后，可以通过如下的步骤来测试和使用离线文件转写服务。
@@ -142,7 +115,6 @@ python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline \
 ```
 
 命令参数说明：
-
 ```text
 --server-ip 为FunASR runtime-SDK服务部署机器ip，默认为本机ip（127.0.0.1），如果client与服务不在同一台服务器，
             需要改为部署机器ip
@@ -153,13 +125,11 @@ python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline \
 ```
 
 ### Html网页版
-
 在浏览器中打开 html/static/index.html，即可出现如下页面，支持麦克风输入与文件上传，直接进行体验
 
 <img src="images/html.png"  width="900"/>
 
 ### Java-client
-
 ```shell
 FunasrWsClient --host localhost --port 10095 --audio_in ./asr_example.wav --mode offline
 ```
@@ -233,6 +203,7 @@ kill -9 PID
 
 如果，您希望部署您finetune后的模型（例如10epoch.pb），需要手动将模型重命名为model.pb，并将原modelscope中模型model.pb替换掉，将路径指定为`model_dir`即可。
 
+------------------
 
 ## 如何定制服务部署
 
@@ -249,9 +220,6 @@ https://github.com/alibaba-damo-academy/FunASR/tree/main/runtime/python/websocke
 
 如果您想定义自己的client，参考[websocket通信协议](./websocket_protocol_zh.md)
 
-
-```
-
 ### c++ 服务端：
 
 #### VAD
diff --git a/runtime/docs/SDK_advanced_guide_online.md b/runtime/docs/SDK_advanced_guide_online.md
index e86155581..d9a72b22a 100644
--- a/runtime/docs/SDK_advanced_guide_online.md
+++ b/runtime/docs/SDK_advanced_guide_online.md
@@ -3,17 +3,22 @@
 FunASR provides a real-time speech transcription service that can be easily deployed on local or cloud servers, with the FunASR runtime-SDK as the core. It integrates the speech endpoint detection (VAD), Paraformer-large non-streaming speech recognition (ASR), Paraformer-large streaming speech recognition (ASR), punctuation (PUNC), and other related capabilities open-sourced by the speech laboratory of DAMO Academy on the Modelscope community. The software package can perform real-time speech-to-text transcription, and can also accurately transcribe text at the end of sentences for high-precision output. The output text contains punctuation and supports high-concurrency multi-channel requests.
 
 ## Quick Start
-### Pull Docker Image
-
-Use the following command to pull and start the FunASR software package docker image:
-
+### Docker install
+If you have already installed Docker, ignore this step!
 ```shell
-sudo docker pull registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.3
-mkdir -p ./funasr-runtime-resources/models
-sudo docker run -p 10096:10095 -it --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.3
+curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh;
+sudo bash install_docker.sh
 ```
 If you do not have Docker installed, please refer to [Docker Installation](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
 
+### Pull Docker Image
+Use the following command to pull and start the FunASR software package docker image:
+```shell
+sudo docker pull registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.4
+mkdir -p ./funasr-runtime-resources/models
+sudo docker run -p 10096:10095 -it --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.4
+```
+
 ### Launching the Server
 
 After Docker is launched, start the funasr-wss-server-2pass service program:
diff --git a/runtime/docs/SDK_advanced_guide_online_zh.md b/runtime/docs/SDK_advanced_guide_online_zh.md
index 463f53d10..ff850d4a9 100644
--- a/runtime/docs/SDK_advanced_guide_online_zh.md
+++ b/runtime/docs/SDK_advanced_guide_online_zh.md
@@ -11,23 +11,22 @@ FunASR提供可便捷本地或者云端服务器部署的实时语音听写服
 如果您已安装docker，忽略本步骤！!
 通过下述命令在服务器上安装docker：
 ```shell
-curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh；
+curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh
 sudo bash install_docker.sh
 ```
+docker安装失败请参考 [Docker Installation](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker.html)
 
 ### 镜像启动
-
 通过下述命令拉取并启动FunASR软件包的docker镜像：
 
 ```shell
 sudo docker pull \
-  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.3
+  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.4
 mkdir -p ./funasr-runtime-resources/models
 sudo docker run -p 10096:10095 -it --privileged=true \
   -v $PWD/funasr-runtime-resources/models:/workspace/models \
-  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.3
+  registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.4
 ```
-如果您没有安装docker，可参考[Docker安装](https://alibaba-damo-academy.github.io/FunASR/en/installation/docker_zh.html)
 
 ### 服务端启动
 
@@ -40,12 +39,15 @@ nohup bash run_server_2pass.sh \
   --model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx  \
   --online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx  \
   --punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx \
-  --itn-dir thuduj12/fst_itn_zh  > log.out 2>&1 &
+  --itn-dir thuduj12/fst_itn_zh \
+  --hotword /workspace/models/hotwords.txt > log.out 2>&1 &
 
 # 如果您想关闭ssl，增加参数：--certfile 0
-# 如果您想使用时间戳或者热词模型进行部署，请设置--model-dir为对应模型：
-# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx（时间戳）
-# 或者 damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx（热词）
+# 如果您想使用时间戳或者nn热词模型进行部署，请设置--model-dir为对应模型：
+#   damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx（时间戳）
+#   damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx（nn热词）
+# 如果您想在服务端加载热词，请在宿主机文件./funasr-runtime-resources/models/hotwords.txt配置热词（docker映射地址为/workspace/models/hotwords.txt）:
+#   每行一个热词，格式(热词 权重)：阿里巴巴 20
 ```
 服务端详细参数介绍可参考[服务端用法详解](#服务端用法详解)
 ### 客户端测试与使用
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