diff --git a/dsRag/Test/T12.py b/dsRag/Test/T12.py
index bfbae62b..d5642a84 100644
--- a/dsRag/Test/T12.py
+++ b/dsRag/Test/T12.py
@@ -9,9 +9,7 @@ from Util.SplitDocxUtil import SplitDocxUtil
 
 # 加载预训练模型和分词器
 tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
-#model = AutoModel.from_pretrained('bert-base-uncased')
-
-model = LlamaForCausalLM.from_pretrained("./path/to/local/directory", local_files_only=True)
+model = LlamaForCausalLM.from_pretrained("d:/Model/google-bert/bert-base-uncased", local_files_only=True)
 
 def split_into_blocks(text):
     """使用正则表达式匹配问题和话题的标题及内容"""
diff --git a/dsRag/Test/T14_DownloadHuggingFace.py b/dsRag/Test/T14_DownloadHuggingFace.py
deleted file mode 100644
index 9a681637..00000000
--- a/dsRag/Test/T14_DownloadHuggingFace.py
+++ /dev/null
@@ -1,27 +0,0 @@
-"""
-pip install huggingface_hub
-pip install pysocks
-pip install hf_xet
-开VPN后,使用Python下载模型
-"""
-import os
-from transformers import AutoModel, AutoTokenizer
-
-# 设置环境变量
-os.environ['HTTP_PROXY'] = 'socks5://127.0.0.1:1080'
-os.environ['HTTPS_PROXY'] = 'socks5://127.0.0.1:1080'
-
-# 配置代理
-proxies = {
-    'http': 'socks5://127.0.0.1:1080',
-    'https': 'socks5://127.0.0.1:1080'
-}
-
-# 加载模型
-model_id = "google-bert/bert-base-uncased"
-model = AutoModel.from_pretrained(model_id, proxies=proxies)
-tokenizer = AutoTokenizer.from_pretrained(model_id, proxies=proxies)
-
-# 保存模型到本地
-model.save_pretrained("d:/Model/google-bert/bert-base-uncased")
-tokenizer.save_pretrained("d:/Model/google-bert/bert-base-uncased")