Upload 2 files
Browse files- merge.sh +11 -0
- merge_peft_adapters.py +45 -0
merge.sh
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# beam_size=1
|
| 2 |
+
# output_size=1
|
| 3 |
+
# input_dir=/data3/HuangKai/Dataset/TRANSFER_dataset/template_sec
|
| 4 |
+
output_dir=Model/Program_Repair
|
| 5 |
+
|
| 6 |
+
# mkdir -p $output_dir
|
| 7 |
+
|
| 8 |
+
python merge_peft_adapters.py \
|
| 9 |
+
--base_model_name_or_path bigcode/starcoderbase \
|
| 10 |
+
--peft_model_path $output_dir/Epoch_1/ \
|
| 11 |
+
--push_to_hub \
|
merge_peft_adapters.py
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 2 |
+
from peft import PeftModel
|
| 3 |
+
import torch
|
| 4 |
+
|
| 5 |
+
import os
|
| 6 |
+
import argparse
|
| 7 |
+
|
| 8 |
+
def get_args():
|
| 9 |
+
parser = argparse.ArgumentParser()
|
| 10 |
+
parser.add_argument("--base_model_name_or_path", type=str, default="bigcode/large-model")
|
| 11 |
+
parser.add_argument("--peft_model_path", type=str, default="/")
|
| 12 |
+
parser.add_argument("--push_to_hub", action="store_true", default=True)
|
| 13 |
+
|
| 14 |
+
return parser.parse_args()
|
| 15 |
+
|
| 16 |
+
def main():
|
| 17 |
+
args = get_args()
|
| 18 |
+
|
| 19 |
+
base_model = AutoModelForCausalLM.from_pretrained(
|
| 20 |
+
args.base_model_name_or_path,
|
| 21 |
+
return_dict=True,
|
| 22 |
+
torch_dtype=torch.float16
|
| 23 |
+
)
|
| 24 |
+
|
| 25 |
+
model = PeftModel.from_pretrained(base_model, args.peft_model_path)
|
| 26 |
+
model = model.merge_and_unload()
|
| 27 |
+
|
| 28 |
+
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(args.base_model_name_or_path)
|
| 30 |
+
|
| 31 |
+
# if args.push_to_hub:
|
| 32 |
+
# print(f"Saving to hub ...")
|
| 33 |
+
# model.push_to_hub(f"{args.base_model_name_or_path}-merged", use_temp_dir=False, private=True)
|
| 34 |
+
# tokenizer.push_to_hub(f"{args.base_model_name_or_path}-merged", use_temp_dir=False, private=True)
|
| 35 |
+
# else:
|
| 36 |
+
# model.save_pretrained(f"{args.base_model_name_or_path}-merged")
|
| 37 |
+
# tokenizer.save_pretrained(f"{args.base_model_name_or_path}-merged")
|
| 38 |
+
# print(f"Model saved to {args.base_model_name_or_path}-merged")
|
| 39 |
+
|
| 40 |
+
model.save_pretrained(f"{args.peft_model_path}-merged")
|
| 41 |
+
tokenizer.save_pretrained(f"{args.peft_model_path}-merged")
|
| 42 |
+
print(f"Model saved to {args.peft_model_path}-merged")
|
| 43 |
+
|
| 44 |
+
if __name__ == "__main__" :
|
| 45 |
+
main()
|