diff --git a/scripts/chat_sft.py b/scripts/chat_sft.py
index e6e4565..595d24c 100644
--- a/scripts/chat_sft.py
+++ b/scripts/chat_sft.py
@@ -12,12 +12,11 @@ torchrun --standalone --nproc_per_node=8 -m scripts.chat_sft
 import os
 os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True"
 
-import wandb
 import torch
 import torch.distributed as dist
 from contextlib import nullcontext
 
-from nanochat.common import compute_init, compute_cleanup, get_base_dir, print0, DummyWandb, autodetect_device_type
+from nanochat.common import compute_init, compute_cleanup, get_base_dir, print0, get_wandb, autodetect_device_type
 from nanochat.checkpoint_manager import load_model
 from nanochat.checkpoint_manager import save_checkpoint
 from nanochat.engine import Engine
@@ -69,8 +68,7 @@ ptdtype = torch.float32 if dtype == 'float32' else torch.bfloat16
 autocast_ctx = torch.amp.autocast(device_type=device_type, dtype=ptdtype) if device_type == "cuda" else nullcontext()
 
 # wandb logging init
-use_dummy_wandb = run == "dummy" or not master_process
-wandb_run = DummyWandb() if use_dummy_wandb else wandb.init(project="nanochat-sft", name=run, config=user_config, save_code=True)
+wandb_run = get_wandb("nanochat-sft" , run=run, master_process=master_process, user_config=user_config)
 
 # Load the model and tokenizer
 model, tokenizer, meta = load_model(source, device, phase="train", model_tag=model_tag, step=step)