diff --git a/training/coqui_stt_training/export.py b/training/coqui_stt_training/export.py
index 782835bf..ad44fa54 100644
--- a/training/coqui_stt_training/export.py
+++ b/training/coqui_stt_training/export.py
@@ -240,6 +240,13 @@ def export_savedmodel():
         )
 
         builder.save()
+
+        # Copy scorer and alphabet alongside SavedModel
+        if Config.scorer_path:
+            print(f"Saving {Config.scorer_path} to {Config.export_dir}")
+            shutil.copy(Config.scorer_path, Config.export_dir)
+        shutil.copy(Config.effective_alphabet_path, Config.export_dir)
+
         log_info(f"Exported SavedModel to {Config.export_dir}")
 
 
diff --git a/training/coqui_stt_training/train.py b/training/coqui_stt_training/train.py
index d396fd7f..8451e5f0 100644
--- a/training/coqui_stt_training/train.py
+++ b/training/coqui_stt_training/train.py
@@ -11,8 +11,6 @@ DESIRED_LOG_LEVEL = (
 )
 os.environ["TF_CPP_MIN_LOG_LEVEL"] = DESIRED_LOG_LEVEL
 
-import json
-import shutil
 import time
 from datetime import datetime
 from pathlib import Path
@@ -59,11 +57,7 @@ from .util.config import (
 )
 from .util.feeding import create_dataset
 from .util.helpers import check_ctcdecoder_version
-from .util.io import (
-    is_remote_path,
-    open_remote,
-    remove_remote,
-)
+from .util.io import remove_remote
 
 
 # Accuracy and Loss
@@ -416,18 +410,6 @@ def train():
     best_dev_saver = tfv1.train.Saver(max_to_keep=1)
     best_dev_path = os.path.join(Config.save_checkpoint_dir, "best_dev")
 
-    # Save flags next to checkpoints
-    if not is_remote_path(Config.save_checkpoint_dir):
-        os.makedirs(Config.save_checkpoint_dir, exist_ok=True)
-    flags_file = os.path.join(Config.save_checkpoint_dir, "flags.txt")
-    with open_remote(flags_file, "w") as fout:
-        json.dump(Config.serialize(), fout, indent=2)
-
-    # Serialize alphabet alongside checkpoint
-    preserved_alphabet_file = os.path.join(Config.save_checkpoint_dir, "alphabet.txt")
-    with open_remote(preserved_alphabet_file, "wb") as fout:
-        fout.write(Config.alphabet.SerializeText())
-
     with tfv1.Session(config=Config.session_config) as session:
         log_debug("Session opened.")
 
diff --git a/training/coqui_stt_training/util/config.py b/training/coqui_stt_training/util/config.py
index 9ca10b80..5c9a189b 100644
--- a/training/coqui_stt_training/util/config.py
+++ b/training/coqui_stt_training/util/config.py
@@ -1,5 +1,6 @@
 from __future__ import absolute_import, division, print_function
 
+import json
 import os
 import sys
 from dataclasses import asdict, dataclass, field
@@ -17,7 +18,7 @@ from .augmentations import NormalizeSampleRate, parse_augmentations
 from .auto_input import create_alphabet_from_sources, create_datasets_from_auto_input
 from .gpu import get_available_gpus
 from .helpers import parse_file_size
-from .io import path_exists_remote
+from .io import is_remote_path, open_remote, path_exists_remote
 
 
 class _ConfigSingleton:
@@ -161,6 +162,7 @@ class BaseSttConfig(Coqpit):
             self.alphabet = UTF8Alphabet()
         elif self.alphabet_config_path:
             self.alphabet = Alphabet(self.alphabet_config_path)
+            self.effective_alphabet_path = self.alphabet_config_path
         elif os.path.exists(loaded_checkpoint_alphabet_file):
             print(
                 "I --alphabet_config_path not specified, but found an alphabet file "
@@ -168,6 +170,7 @@ class BaseSttConfig(Coqpit):
                 "Will use this alphabet file for this run."
             )
             self.alphabet = Alphabet(loaded_checkpoint_alphabet_file)
+            self.effective_alphabet_path = loaded_checkpoint_alphabet_file
         elif self.train_files and self.dev_files and self.test_files:
             # If all subsets are in the same folder and there's an alphabet file
             # alongside them, use it.
@@ -185,6 +188,7 @@ class BaseSttConfig(Coqpit):
                         "Will use this alphabet file for this run."
                     )
                     self.alphabet = Alphabet(str(possible_alphabet))
+                    self.effective_alphabet_path = possible_alphabet
 
             if not self.alphabet:
                 # Generate alphabet automatically from input dataset, but only if
@@ -199,6 +203,7 @@ class BaseSttConfig(Coqpit):
                 characters, alphabet = create_alphabet_from_sources(sources)
                 print(f"I Generated alphabet characters: {characters}.")
                 self.alphabet = alphabet
+                self.effective_alphabet_path = saved_checkpoint_alphabet_file
         else:
             raise RuntimeError(
                 "Missing --alphabet_config_path flag. Couldn't find an alphabet file "
@@ -208,6 +213,17 @@ class BaseSttConfig(Coqpit):
                 "be generated automatically."
             )
 
+        # Save flags next to checkpoints
+        if not is_remote_path(self.save_checkpoint_dir):
+            os.makedirs(self.save_checkpoint_dir, exist_ok=True)
+        flags_file = os.path.join(self.save_checkpoint_dir, "flags.txt")
+        with open_remote(flags_file, "w") as fout:
+            json.dump(self.serialize(), fout, indent=2)
+
+        # Serialize alphabet alongside checkpoint
+        with open_remote(saved_checkpoint_alphabet_file, "wb") as fout:
+            fout.write(self.alphabet.SerializeText())
+
         # Geometric Constants
         # ===================