diff --git a/llm-lora-finetuning/pipelines/train_accelerated.py b/llm-lora-finetuning/pipelines/train_accelerated.py
index eecd228b..ff3ca92a 100644
--- a/llm-lora-finetuning/pipelines/train_accelerated.py
+++ b/llm-lora-finetuning/pipelines/train_accelerated.py
@@ -18,13 +18,12 @@
 
 from steps import (
     evaluate_model,
-    finetune,
+    finetune_accelerated,
     prepare_data,
     promote,
     log_metadata_from_step_artifact,
 )
 from zenml import pipeline
-from zenml.integrations.huggingface.steps import run_with_accelerate
 
 
 @pipeline
@@ -74,7 +73,7 @@ def llm_peft_full_finetune(
         id="log_metadata_evaluation_base"
     )
 
-    ft_model_dir = run_with_accelerate(finetune)(
+    ft_model_dir = finetune_accelerated(
         base_model_id=base_model_id,
         dataset_dir=datasets_dir,
         use_fast=use_fast,
diff --git a/llm-lora-finetuning/steps/__init__.py b/llm-lora-finetuning/steps/__init__.py
index 317b6b4c..60912212 100644
--- a/llm-lora-finetuning/steps/__init__.py
+++ b/llm-lora-finetuning/steps/__init__.py
@@ -16,7 +16,7 @@
 #
 
 from .evaluate_model import evaluate_model
-from .finetune import finetune
+from .finetune import finetune, finetune_accelerated
 from .prepare_datasets import prepare_data
 from .promote import promote
 from .log_metadata import log_metadata_from_step_artifact
diff --git a/llm-lora-finetuning/steps/finetune.py b/llm-lora-finetuning/steps/finetune.py
index ece4b1b0..2e362103 100644
--- a/llm-lora-finetuning/steps/finetune.py
+++ b/llm-lora-finetuning/steps/finetune.py
@@ -32,6 +32,7 @@
 from zenml.materializers import BuiltInMaterializer
 from zenml.utils.cuda_utils import cleanup_gpu_memory
 from zenml.client import Client
+from zenml.integrations.huggingface.steps import run_with_accelerate
 
 logger = get_logger(__name__)
 
@@ -184,3 +185,6 @@ def finetune(
         )
 
     return ft_model_dir
+
+
+finetune_accelerated = run_with_accelerate(finetune, num_processes=2, multi_gpu=True, mixed_precision="bf16")
\ No newline at end of file