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9 changes: 8 additions & 1 deletion xtuner/tools/chat.py
Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,11 @@ def parse_args():
'--no-streamer', action='store_true', help='Whether to with streamer')
parser.add_argument('--command-stop-word', default=None, help='Stop key')
parser.add_argument('--answer-stop-word', default=None, help='Stop key')
parser.add_argument(
'--offload-folder',
default=None,
help='The folder in which to offload the model weights (or where the '
'model weights are already offloaded).')
parser.add_argument(
'--max-new-tokens',
type=int,
Expand Down Expand Up @@ -138,11 +143,13 @@ def main():
quantization_config=quantization_config,
load_in_8bit=load_in_8bit,
device_map='auto',
offload_folder=args.offload_folder,
trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(
args.model_name_or_path, trust_remote_code=True)
if args.adapter is not None:
model = PeftModel.from_pretrained(model, args.adapter)
model = PeftModel.from_pretrained(
model, args.adapter, offload_folder=args.offload_folder)
print(f'Load adapter from {args.adapter}')
model.eval()

Expand Down
7 changes: 7 additions & 0 deletions xtuner/tools/model_converters/merge.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,11 @@ def parse_args():
default='2GB',
help='Only applicable for LLM. The maximum size for '
'each sharded checkpoint.')
parser.add_argument(
'--offload-folder',
default=None,
help='The folder in which to offload the model weights (or where '
'the model weights are already offloaded).')
args = parser.parse_args()
return args

Expand All @@ -30,6 +35,7 @@ def main():
torch_dtype=torch.float16,
low_cpu_mem_usage=True,
device_map='auto',
offload_folder=args.offload_folder,
trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(
args.model_name_or_path, trust_remote_code=True)
Expand All @@ -38,6 +44,7 @@ def main():
args.adapter_name_or_path,
device_map='auto',
torch_dtype=torch.float16,
offload_folder=args.offload_folder,
is_trainable=False)
model_merged = model_unmerged.merge_and_unload()
print(f'Saving to {args.save_dir}...')
Expand Down