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# coding=utf-8
# Converts the Baichuan2-7B model in the same format as LLaMA2-7B.
# Usage: python llamafy_baichuan2.py --llama2_json llama2.index.json --input_dir input --output_dir output
# Inspired by: https://huggingface.co/fireballoon/baichuan-llama-7b/blob/main/convert_baichuan_to_llama.py
# Converted model: https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied
import os
import fire
import json
import torch
from collections import OrderedDict
SHARD_A = "pytorch_model-00001-of-00002.bin"
SHARD_B = "pytorch_model-00002-of-00002.bin"
def llamafy_baichuan2(
llama2_json: str,
input_dir: str,
output_dir: str
):
baichuan2_state_dict = OrderedDict()
for filepath in os.listdir(input_dir):
if os.path.isfile(os.path.join(input_dir, filepath)) and filepath.endswith(".bin"):
shard_weight = torch.load(os.path.join(input_dir, filepath), map_location="cpu")
baichuan2_state_dict.update(shard_weight)
llama2_state_dict = OrderedDict()
total_size = 0
for key, value in baichuan2_state_dict.items():
total_size += 2 * value.numel() # half precision
if "W_pack" in key:
llama2_state_dict[key.replace("W_pack", "q_proj")] = value[:4096, :]
llama2_state_dict[key.replace("W_pack", "k_proj")] = value[4096:2*4096, :]
llama2_state_dict[key.replace("W_pack", "v_proj")] = value[2*4096:, :]
elif "lm_head" in key:
llama2_state_dict[key] = torch.nn.functional.normalize(value)
else:
llama2_state_dict[key] = value
with open(os.path.join(input_dir, llama2_json), "r", encoding="utf-8") as f:
llama2_index = json.load(f)
merged_index = OrderedDict()
merged_index["metadata"] = {"total_size": total_size}
merged_index["weight_map"] = llama2_index["weight_map"]
state_dict_a, state_dict_b = OrderedDict(), OrderedDict()
for key, value in llama2_state_dict.items():
if merged_index["weight_map"][key] == SHARD_A:
state_dict_a[key] = value
else:
state_dict_b[key] = value
os.makedirs(output_dir, exist_ok=True)
torch.save(state_dict_a, os.path.join(output_dir, SHARD_A))
torch.save(state_dict_b, os.path.join(output_dir, SHARD_B))
with open(os.path.join(output_dir, "pytorch_model.bin.index.json"), "w", encoding="utf-8") as f:
json.dump(merged_index, f, indent=2)
print("Completed!")
if __name__ == "__main__":
fire.Fire(llamafy_baichuan2)
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