diff --git a/docs/en/EvalByLMDeploy.md b/docs/en/EvalByLMDeploy.md
index 610f7565..fc0a8c38 100644
--- a/docs/en/EvalByLMDeploy.md
+++ b/docs/en/EvalByLMDeploy.md
@@ -23,5 +23,5 @@ lmdeploy serve api_server OpenGVLab/InternVL2-8B --model-name InternVL2-8B
 ## Step 2: Evaluation
 
 ```bash
-python run.py --data MMStar --model lmdeploy --verbose --api_nproc 64
+python run.py --data MMStar --model lmdeploy --verbose --api-nproc 64
 ```
diff --git a/docs/en/Quickstart.md b/docs/en/Quickstart.md
index 90501254..a68a1a32 100644
--- a/docs/en/Quickstart.md
+++ b/docs/en/Quickstart.md
@@ -66,7 +66,7 @@ We use `run.py` for evaluation. To use the script, you can use `$VLMEvalKit/run.
 - `--data (list[str])`: Set the dataset names that are supported in VLMEvalKit (names can be found in the codebase README).
 - `--model (list[str])`: Set the VLM names that are supported in VLMEvalKit (defined in `supported_VLM` in `vlmeval/config.py`).
 - `--mode (str, default to 'all', choices are ['all', 'infer'])`: When `mode` set to "all", will perform both inference and evaluation; when set to "infer", will only perform the inference.
-- `--api_nproc (int, default to 4)`: The number of threads for OpenAI API calling.
+- `--api-nproc (int, default to 4)`: The number of threads for OpenAI API calling.
 - `--work-dir (str, default to '.')`: The directory to save evaluation results.
 
 **Command for Evaluating Image Benchmarks **
diff --git a/docs/zh-CN/EvalByLMDeploy.md b/docs/zh-CN/EvalByLMDeploy.md
index 2fca1487..cdb46c70 100644
--- a/docs/zh-CN/EvalByLMDeploy.md
+++ b/docs/zh-CN/EvalByLMDeploy.md
@@ -24,5 +24,5 @@ lmdeploy serve api_server OpenGVLab/InternVL2-8B --model-name InternVL2-8B
 ## 第2步 评测
 
 ```bash
-python run.py --data MMStar --model InternVL2-8B --verbose --api_nproc 64
+python run.py --data MMStar --model InternVL2-8B --verbose --api-nproc 64
 ```
diff --git a/docs/zh-CN/Quickstart.md b/docs/zh-CN/Quickstart.md
index 17c7bea0..f2bb5151 100644
--- a/docs/zh-CN/Quickstart.md
+++ b/docs/zh-CN/Quickstart.md
@@ -65,7 +65,7 @@ pip install -e .
 - `--data (list[str])`: 设置在 VLMEvalKit 中支持的数据集名称（可以在代码库首页的 README 中找到支持的数据集列表）
 - `--model (list[str])`: 设置在 VLMEvalKit 中支持的 VLM 名称（在 `vlmeval/config.py` 中的 `supported_VLM` 中定义）
 - `--mode (str, 默认值为 'all', 可选值为 ['all', 'infer'])`：当 mode 设置为 "all" 时，将执行推理和评估；当设置为 "infer" 时，只执行推理
-- `--api_nproc (int, 默认值为 4)`: 调用 API 的线程数
+- `--api-nproc (int, 默认值为 4)`: 调用 API 的线程数
 - `--work-dir (str, default to '.')`: 存放测试结果的目录
 
 **用于评测图像多模态评测集的命令**