diff --git a/deepmd/entrypoints/compress.py b/deepmd/entrypoints/compress.py
index 58c3c2a075..b03e8cf653 100644
--- a/deepmd/entrypoints/compress.py
+++ b/deepmd/entrypoints/compress.py
@@ -87,6 +87,8 @@ def compress(
             jdata = j_loader(training_script)
             t_min_nbor_dist = get_min_nbor_dist(jdata, get_rcut(jdata))
 
+    _check_compress_type(input)
+
     tf.constant(t_min_nbor_dist,
         name = 'train_attr/min_nbor_dist',
         dtype = GLOBAL_ENER_FLOAT_PRECISION)
@@ -137,3 +139,13 @@ def compress(
     log.info("\n\n")
     log.info("stage 2: freeze the model")
     freeze(checkpoint_folder=checkpoint_folder, output=output, node_names=None)
+
+def _check_compress_type(model_file):
+    try:
+        t_model_type = bytes.decode(get_tensor_by_name(model_file, 'model_type'))
+    except GraphWithoutTensorError as e:
+        # Compatible with the upgraded model, which has no 'model_type' info
+        t_model_type = None
+    
+    if t_model_type == "compressed_model":
+        raise RuntimeError("The input frozen model %s has already been compressed! Please do not compress the model repeatedly. " % model_file)
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