diff --git a/src/axolotl/utils/callbacks/__init__.py b/src/axolotl/utils/callbacks/__init__.py
index f1b459b6b..d92cb9d99 100644
--- a/src/axolotl/utils/callbacks/__init__.py
+++ b/src/axolotl/utils/callbacks/__init__.py
@@ -4,7 +4,6 @@ from __future__ import annotations
 
 import gc
 import logging
-import math
 import os
 import traceback
 from shutil import copyfile
@@ -830,13 +829,6 @@ class SaveModelCallback(TrainerCallback):
         # Save
         if state.global_step >= state.max_steps:
             control.should_save = True
-        elif (
-            args.save_strategy == IntervalStrategy.STEPS
-            and state.save_steps < 1.0
-            and state.global_step % math.ceil(state.save_steps * state.max_steps) == 0
-        ):
-            # workaround to save model on fractional save_steps
-            control.should_save = True
 
     def on_train_end(  # pylint: disable=unused-argument
         self, args, state, control, **kwargs