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[misc] upgrade format to py39 (#7256)

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hoshi-hiyouga
2025-03-12 00:08:41 +08:00
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parent cdafa8a15e
commit 7c1640ed5f
113 changed files with 984 additions and 1407 deletions
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12
scripts/convert_ckpt/llamafy_baichuan2.py
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@@ -15,7 +15,7 @@
import json
import os
from collections import OrderedDict
from typing import Any, Dict
from typing import Any
import fire
import torch
@@ -29,13 +29,13 @@ CONFIG_NAME = "config.json"
def save_weight(input_dir: str, output_dir: str, shard_size: str, save_safetensors: bool):
baichuan2_state_dict: Dict[str, torch.Tensor] = OrderedDict()
baichuan2_state_dict: dict[str, torch.Tensor] = OrderedDict()
for filepath in tqdm(os.listdir(input_dir), desc="Load weights"):
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)
llama_state_dict: Dict[str, torch.Tensor] = OrderedDict()
llama_state_dict: dict[str, torch.Tensor] = OrderedDict()
for key, value in tqdm(baichuan2_state_dict.items(), desc="Convert format"):
if "W_pack" in key:
proj_size = value.size(0) // 3
@@ -75,7 +75,7 @@ def save_weight(input_dir: str, output_dir: str, shard_size: str, save_safetenso
def save_config(input_dir: str, output_dir: str):
with open(os.path.join(input_dir, CONFIG_NAME), encoding="utf-8") as f:
llama2_config_dict: Dict[str, Any] = json.load(f)
llama2_config_dict: dict[str, Any] = json.load(f)
llama2_config_dict["architectures"] = ["LlamaForCausalLM"]
llama2_config_dict.pop("auto_map", None)
@@ -94,8 +94,8 @@ def llamafy_baichuan2(
shard_size: str = "2GB",
save_safetensors: bool = True,
):
r"""
Converts the Baichuan2-7B model in the same format as LLaMA2-7B.
r"""Convert the Baichuan2-7B model in the same format as LLaMA2-7B.
Usage: python llamafy_baichuan2.py --input_dir input --output_dir output
Converted model: https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied
"""