diff --git a/agent/bing_search.py b/agent/bing_search.py
index 2ff7749..962090c 100644
--- a/agent/bing_search.py
+++ b/agent/bing_search.py
@@ -7,7 +7,7 @@ from configs.model_config import BING_SEARCH_URL, BING_SUBSCRIPTION_KEY
 def bing_search(text, result_len=3):
     if not (BING_SEARCH_URL and BING_SUBSCRIPTION_KEY):
         return [{"snippet": "please set BING_SUBSCRIPTION_KEY and BING_SEARCH_URL in os ENV",
-                 "title": "env inof not fould",
+                 "title": "env info is not found",
                  "link": "https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html"}]
     search = BingSearchAPIWrapper(bing_subscription_key=BING_SUBSCRIPTION_KEY,
                                   bing_search_url=BING_SEARCH_URL)
diff --git a/configs/model_config.py b/configs/model_config.py
index 086bfe0..6604fc5 100644
--- a/configs/model_config.py
+++ b/configs/model_config.py
@@ -163,7 +163,14 @@ flagging username: {FLAG_USER_NAME}
 OPEN_CROSS_DOMAIN = False
 
 # Bing 搜索必备变量
-# 使用 Bing 搜索需要使用 Bing Subscription Key
-# 具体申请方式请见 https://learn.microsoft.com/en-us/bing/search-apis/bing-web-search/quickstarts/rest/python
+# 使用 Bing 搜索需要使用 Bing Subscription Key,需要在azure port中申请试用bing search
+# 具体申请方式请见
+# https://learn.microsoft.com/en-us/bing/search-apis/bing-web-search/create-bing-search-service-resource
+# 使用python创建bing api 搜索实例详见:
+# https://learn.microsoft.com/en-us/bing/search-apis/bing-web-search/quickstarts/rest/python
 BING_SEARCH_URL = "https://api.bing.microsoft.com/v7.0/search"
+# 注意不是bing Webmaster Tools的api key，
+
+# 此外，如果是在服务器上，报Failed to establish a new connection: [Errno 110] Connection timed out
+# 是因为服务器加了防火墙，需要联系管理员加白名单，如果公司的服务器的话，就别想了GG
 BING_SUBSCRIPTION_KEY = ""
\ No newline at end of file
diff --git a/docs/FAQ.md b/docs/FAQ.md
index b43483b..f712477 100644
--- a/docs/FAQ.md
+++ b/docs/FAQ.md
@@ -146,7 +146,6 @@ $ pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/
 $ pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/
 ```
 
-
 Q12 启动api.py时upload_file接口抛出 `partially initialized module 'charset_normalizer' has no attribute 'md__mypyc' (most likely due to a circular import)`
 
 这是由于 charset_normalizer模块版本过高导致的，需要降低低charset_normalizer的版本,测试在charset_normalizer==2.1.0上可用。
@@ -174,3 +173,7 @@ download_with_progressbar(url, tmp_path)
 然后按照给定网址，如"https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar"手动下载文件，上传到对应的文件夹中，如“.paddleocr/whl/rec/ch/ch_PP-OCRv3_rec_infer/ch_PP-OCRv3_rec_infer.tar”.
 
 ---
+
+Q14 调用api中的 `bing_search_chat`接口时，报出 `Failed to establish a new connection: [Errno 110] Connection timed out`
+
+这是因为服务器加了防火墙，需要联系管理员加白名单，如果公司的服务器的话，就别想了GG--!
diff --git a/models/loader/loader.py b/models/loader/loader.py
index c68e71a..f315e6c 100644
--- a/models/loader/loader.py
+++ b/models/loader/loader.py
@@ -30,6 +30,16 @@ class LoaderCheckPoint:
     ptuning_dir: str = None
     use_ptuning_v2: bool = False
     # 如果开启了8bit量化加载,项目无法启动，参考此位置，选择合适的cuda版本，https://github.com/TimDettmers/bitsandbytes/issues/156
+    # 另一个原因可能是由于bitsandbytes安装时选择了系统环境变量里不匹配的cuda版本，
+    # 例如PATH下存在cuda10.2和cuda11.2，bitsandbytes安装时选择了10.2，而torch等安装依赖的版本是11.2
+    # 因此主要的解决思路是清理环境变量里PATH下的不匹配的cuda版本，一劳永逸的方法是：
+    # 0. 在终端执行`pip uninstall bitsandbytes`
+    # 1. 删除.bashrc文件下关于PATH的条目
+    # 2. 在终端执行 `echo $PATH >> .bashrc` 
+    # 3. 删除.bashrc文件下PATH中关于不匹配的cuda版本路径
+    # 4. 在终端执行`source .bashrc`
+    # 5. 再执行`pip install bitsandbytes`
+    
     load_in_8bit: bool = False
     is_llamacpp: bool = False
     bf16: bool = False
@@ -99,6 +109,8 @@ class LoaderCheckPoint:
             LoaderClass = AutoModelForCausalLM
 
         # Load the model in simple 16-bit mode by default
+        # 如果加载没问题，但在推理时报错RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling `cublasCreate(handle)`
+        # 那还是因为显存不够，此时只能考虑--load-in-8bit,或者配置默认模型为`chatglm-6b-int8`
         if not any([self.llm_device.lower() == "cpu",
                     self.load_in_8bit, self.is_llamacpp]):