diff --git a/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py b/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py
index 7543b1f4e..1482d9142 100644
--- a/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py
+++ b/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py
@@ -14,24 +14,6 @@ from typing import Any, Dict, List, Optional, Tuple
 
 import torch
 from llama_models.sku_list import resolve_model
-from torch import nn
-from torch.optim import Optimizer
-from torch.utils.data import DataLoader, DistributedSampler
-from torchtune import modules, training, utils as torchtune_utils
-from torchtune.data import padded_collate_sft
-
-from torchtune.modules.loss import CEWithChunkedOutputLoss
-from torchtune.modules.peft import (
-    get_adapter_params,
-    get_adapter_state_dict,
-    get_lora_module_names,
-    get_merged_lora_ckpt,
-    set_trainable_params,
-    validate_missing_and_unexpected_for_lora,
-)
-from torchtune.training.lr_schedulers import get_cosine_schedule_with_warmup
-from torchtune.training.metric_logging import DiskLogger
-from tqdm import tqdm
 
 from llama_stack.apis.common.training_types import PostTrainingMetric
 from llama_stack.apis.datasetio import DatasetIO