diff --git a/examples/aishell/run_infer.sh b/examples/aishell/run_infer.sh
index c38325d17ebbe695936526a51492c1e39f9847d7..6683b770c35717333bc747c31521697989baea56 100644
--- a/examples/aishell/run_infer.sh
+++ b/examples/aishell/run_infer.sh
@@ -30,7 +30,7 @@ python -u infer.py \
 --infer_manifest='data/aishell/manifest.test' \
 --mean_std_path='data/aishell/mean_std.npz' \
 --vocab_path='data/aishell/vocab.txt' \
---model_path='checkpoints/aishell/srep_final' \
+--model_path='checkpoints/aishell/step_final' \
 --lang_model_path='models/lm/zh_giga.no_cna_cmn.prune01244.klm' \
 --decoding_method='ctc_beam_search' \
 --error_rate_type='cer' \
diff --git a/infer.py b/infer.py
index e43aa52668614e35463fa59f660cfe5a0c6964f1..9e6a8c3b29a4b9db2acfbe26c7de1648e31978a8 100644
--- a/infer.py
+++ b/infer.py
@@ -46,7 +46,7 @@ add_arg('lang_model_path',  str,
         'models/lm/common_crawl_00.prune01111.trie.klm',
         "Filepath for language model.")
 add_arg('model_path',       str,
-        './checkpoints/libri/params.latest.tar.gz',
+        './checkpoints/libri/step_final',
         "If None, the training starts from scratch, "
         "otherwise, it resumes from the pre-trained model.")
 add_arg('decoding_method',  str,
diff --git a/test.py b/test.py
index 12df55219bc788aee4e445afbd2ccb17e5767bba..ec9fdfda60d2e62f3b8138155e02c3edf607dd94 100644
--- a/test.py
+++ b/test.py
@@ -39,7 +39,7 @@ add_arg('vocab_path',       str,
         'data/librispeech/vocab.txt',
         "Filepath of vocabulary.")
 add_arg('model_path',       str,
-        './checkpoints/libri/params.latest.tar.gz',
+        './checkpoints/libri/step_final',
         "If None, the training starts from scratch, "
         "otherwise, it resumes from the pre-trained model.")
 add_arg('lang_model_path',  str,