diff --git a/colossalai/zero/low_level/low_level_optim.py b/colossalai/zero/low_level/low_level_optim.py
index 6ff235b96..f1db7c540 100644
--- a/colossalai/zero/low_level/low_level_optim.py
+++ b/colossalai/zero/low_level/low_level_optim.py
@@ -338,14 +338,14 @@ class LowLevelZeroOptimizer(OptimizerWrapper):
                     self._update_unpartitoned_grad(bucket_store, grad_in_bucket.values(), flat_grads_per_rank, group_id)
                 else:
                     flat_grads_list = list(flat_grads.split(len(flat_grads) // bucket_store.world_size))
-                    recieved_grad = torch.zeros_like(flat_grads_list[0])
-                    dist.reduce_scatter(recieved_grad, flat_grads_list, group=bucket_store.torch_pg)
+                    received_grad = torch.zeros_like(flat_grads_list[0])
+                    dist.reduce_scatter(received_grad, flat_grads_list, group=bucket_store.torch_pg)
 
-                    if recieved_grad.dtype != grad_dtype:
-                        recieved_grad = recieved_grad.to(grad_dtype)
+                    if received_grad.dtype != grad_dtype:
+                        received_grad = received_grad.to(grad_dtype)
 
                     grad_in_bucket_current_rank = bucket_store.get_grad()[bucket_store.local_rank]
-                    self._update_partitoned_grad(bucket_store, grad_in_bucket_current_rank, recieved_grad, group_id, 1)
+                    self._update_partitoned_grad(bucket_store, grad_in_bucket_current_rank, received_grad, group_id, 1)
 
                 bucket_store.reset()