diff --git a/egs_modelscope/asr/TEMPLATE/README.md b/egs_modelscope/asr/TEMPLATE/README.md
index a5d7d6ea8..a739dbe31 100644
--- a/egs_modelscope/asr/TEMPLATE/README.md
+++ b/egs_modelscope/asr/TEMPLATE/README.md
@@ -85,13 +85,13 @@ Undo
 FunASR also offer recipes [infer.sh](https://github.com/alibaba-damo-academy/FunASR/blob/main/egs_modelscope/asr/TEMPLATE/infer.sh) to decode with multi-thread CPUs, or multi GPUs.
 
 - Setting parameters in `infer.sh`
-    - `model`: model name on ModelScope
-    - `data_dir`: the dataset dir needs to include `${data_dir}/wav.scp`. If `${data_dir}/text` is also exists, CER will be computed
-    - `output_dir`: result dir
-    - `batch_size`: batchsize of inference
-    - `gpu_inference`: whether to perform gpu decoding, set false for cpu decoding
-    - `gpuid_list`: set gpus, e.g., `gpuid_list`="0,1"
-    - `njob`: the number of jobs for CPU decoding, if `gpu_inference`=false, use CPU decoding, please set `njob`
+    - `model`: model name in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope), or model path in local disk
+    - `data_dir`: the dataset dir needs to include `wav.scp`. If `${data_dir}/text` is also exists, CER will be computed
+    - `output_dir`: output dir of the recognition results
+    - `batch_size`: `64` (Default), batch size of inference on gpu
+    - `gpu_inference`: `true` (Default), whether to perform gpu decoding, set false for CPU inference
+    - `gpuid_list`: `0,1` (Default), which gpu_ids are used to infer
+    - `njob`: only used for CPU inference (`gpu_inference`=`false`), `64` (Default), the number of jobs for CPU decoding
     - `checkpoint_dir`: only used for infer finetuned models, the path dir of finetuned models
     - `checkpoint_name`: only used for infer finetuned models, `valid.cer_ctc.ave.pb` (Default), which checkpoint is used to infer
 
diff --git a/egs_modelscope/asr/TEMPLATE/infer.sh b/egs_modelscope/asr/TEMPLATE/infer.sh
index 0d54abc97..134a8adce 100644
--- a/egs_modelscope/asr/TEMPLATE/infer.sh
+++ b/egs_modelscope/asr/TEMPLATE/infer.sh
@@ -12,7 +12,7 @@ output_dir="./results"
 batch_size=64
 gpu_inference=true    # whether to perform gpu decoding
 gpuid_list="0,1"    # set gpus, e.g., gpuid_list="0,1"
-njob=4    # the number of jobs for CPU decoding, if gpu_inference=false, use CPU decoding, please set njob
+njob=64    # the number of jobs for CPU decoding, if gpu_inference=false, use CPU decoding, please set njob
 checkpoint_dir=
 checkpoint_name="valid.cer_ctc.ave.pb"