fix

Signed-off-by: guangli.bao <[email protected]>

Author: tukwila

docs/examples/benchmark_practice_on_drun.md

@@ -4,16 +4,16 @@
 
 ## Getting Started
 
-## 📦 1. Benchmark Testing Environment Setup
+### 📦 1. Benchmark Testing Environment Setup
 
-### 1.1 Create a Conda Environment (recommended)
+#### 1.1 Create a Conda Environment (recommended)
 
 ```bash
 conda create -n guidellm-bench python=3.11 -y
 conda activate guidellm-bench
-```
+````
 
-### 1.2 Install Dependencies
+#### 1.2 Install Dependencies
 
 ```bash
 git clone https://github.com/vllm-project/guidellm.git
@@ -23,33 +23,33 @@ pip install guidellm
 
 For more detailed instructions, refer to [GuideLLM README](https://github.com/vllm-project/guidellm/blob/main/README.md).
 
-### 1.3 Verify Installation
+#### 1.3 Verify Installation
 
 ```bash
 guidellm --help
 ```
 
-### 1.4 Apply for account and api_key in D.run
+#### 1.4 Apply for Account and API Key in D.run
 
 Firstly, register an account, refer to [D.run Registration](https://docs.d.run/en/#register-account); then, create an API key, refer to [D.run API Key](https://docs.d.run/en/#register-account); finally, charge your account at [D.run Account Management](https://docs.d.run/en/#register-account).
 
-### 1.5 Chat with model in D.run
+#### 1.5 Chat with Model in D.run
 
-Check if you can use chat model in D.run
+Check if you can use the chat model in D.run.
 
 ![alt text](image.png)
 
-### 1.6 Find out the http request URL and body
+#### 1.6 Find Out the HTTP Request URL and Body
 
-Use Developer Tool in Chrome browser or F12 to open Network, then chat with LLM model to catch http request URL and body
+Use the Developer Tool in Chrome browser or press F12 to open Network, then chat with the LLM model to capture the HTTP request URL and body.
 
 ![alt text](image-1.png)
 
 ![alt text](image-2.png)
 
 In this request, the vllm backend service URL is `https://chat.d.run`; vllm model is `public/qwen2.5-72b-instruct-awq`. These two pieces of information will be used in the following benchmark command.
 
-### 1.7 Download one chat dataset from modelscope
+#### 1.7 Download a Chat Dataset from Modelscope
 
 Download the chat dataset JSON file `Open-Source-Meeseeks-high-quality.json` from [Modelscope - Meeseeks](https://modelscope.cn/datasets/meituan/Meeseeks/files).
 
@@ -76,10 +76,10 @@ guidellm benchmark \
 
 ![alt text](image-4.png)
 
-After benchmark completion, key results are clear and straight, e.g.:
+After the benchmark completes, key results are clear and straightforward, such as:
 
-* `TTFT`: time to first token
-* `TPOT`: Time Per Output Token
-* `ITL`: inter-token latency
+* **`TTFT`**: Time to First Token
+* **`TPOT`**: Time Per Output Token
+* **`ITL`**: Inter-Token Latency
 
-First benchmark testing is complated.
+The first benchmark test is complete.