diff --git a/README.md b/README.md
index 54bf7c1..81a8228 100644
--- a/README.md
+++ b/README.md
@@ -18,15 +18,15 @@
 [![Wiki][Wiki-image]][Wiki-url]
 [![PR][PRs-image]][PRs-url]
 
-[License-image]: https://img.shields.io/badge/LICENSE-GPL3.0-orange?&style=flat-square
-[Github-image]: https://img.shields.io/badge/github-12100E.svg?&style=flat-square
-[Releases-image]: https://img.shields.io/badge/Releases-v3.6.0-blue?style=flat-square
-[Installation-image]: https://img.shields.io/badge/Installation-v3.6.1-blue?style=flat-square
+[Github-image]: https://img.shields.io/badge/github-12100E.svg?style=flat-square
+[License-image]: https://img.shields.io/github/license/binary-husky/gpt_academic?label=License&style=flat-square&color=orange
+[Releases-image]: https://img.shields.io/github/release/binary-husky/gpt_academic?label=Release&style=flat-square&color=blue
+[Installation-image]: https://img.shields.io/badge/dynamic/json?color=blue&url=https://raw.githubusercontent.com/binary-husky/gpt_academic/master/version&query=$.version&label=Installation&style=flat-square
 [Wiki-image]: https://img.shields.io/badge/wiki-项目文档-black?style=flat-square
 [PRs-image]: https://img.shields.io/badge/PRs-welcome-pink?style=flat-square
 
-[License-url]: https://github.com/binary-husky/gpt_academic/blob/master/LICENSE
 [Github-url]: https://github.com/binary-husky/gpt_academic
+[License-url]: https://github.com/binary-husky/gpt_academic/blob/master/LICENSE
 [Releases-url]: https://github.com/binary-husky/gpt_academic/releases
 [Installation-url]: https://github.com/binary-husky/gpt_academic#installation
 [Wiki-url]: https://github.com/binary-husky/gpt_academic/wiki
@@ -38,7 +38,8 @@
 
 **如果喜欢这个项目，请给它一个Star；如果您发明了好用的快捷键或插件，欢迎发pull requests！**
 
-If you like this project, please give it a Star. Read this in [English](docs/README.English.md) | [日本語](docs/README.Japanese.md) | [한국어](docs/README.Korean.md) | [Русский](docs/README.Russian.md) | [Français](docs/README.French.md). All translations have been provided by the project itself. To translate this project to arbitrary language with GPT, read and run [`multi_language.py`](multi_language.py) (experimental).
+If you like this project, please give it a Star.
+Read this in [English](docs/README.English.md) | [日本語](docs/README.Japanese.md) | [한국어](docs/README.Korean.md) | [Русский](docs/README.Russian.md) | [Français](docs/README.French.md). All translations have been provided by the project itself. To translate this project to arbitrary language with GPT, read and run [`multi_language.py`](multi_language.py) (experimental).
 <br>
 
 
@@ -47,7 +48,7 @@ If you like this project, please give it a Star. Read this in [English](docs/REA
 > 2.本项目中每个文件的功能都在[自译解报告](https://github.com/binary-husky/gpt_academic/wiki/GPT‐Academic项目自译解报告)`self_analysis.md`详细说明。随着版本的迭代，您也可以随时自行点击相关函数插件，调用GPT重新生成项目的自我解析报告。常见问题请查阅wiki。
 >    [![常规安装方法](https://img.shields.io/static/v1?label=&message=常规安装方法&color=gray)](#installation)  [![一键安装脚本](https://img.shields.io/static/v1?label=&message=一键安装脚本&color=gray)](https://github.com/binary-husky/gpt_academic/releases)  [![配置说明](https://img.shields.io/static/v1?label=&message=配置说明&color=gray)](https://github.com/binary-husky/gpt_academic/wiki/项目配置说明) [![wiki](https://img.shields.io/static/v1?label=&message=wiki&color=gray)]([https://github.com/binary-husky/gpt_academic/wiki/项目配置说明](https://github.com/binary-husky/gpt_academic/wiki))
 > 
-> 3.本项目兼容并鼓励尝试国产大语言模型ChatGLM等。支持多个api-key共存，可在配置文件中填写如`API_KEY="openai-key1,openai-key2,azure-key3,api2d-key4"`。需要临时更换`API_KEY`时，在输入区输入临时的`API_KEY`然后回车键提交后即可生效。
+> 3.本项目兼容并鼓励尝试国产大语言模型ChatGLM等。支持多个api-key共存，可在配置文件中填写如`API_KEY="openai-key1,openai-key2,azure-key3,api2d-key4"`。需要临时更换`API_KEY`时，在输入区输入临时的`API_KEY`然后回车键提交即可生效。
 
 <br><br>
 
diff --git a/config.py b/config.py
index f170a2b..a511724 100644
--- a/config.py
+++ b/config.py
@@ -15,13 +15,13 @@ API_KEY = "此处填API密钥"    # 可同时填写多个API-KEY，用英文逗
 USE_PROXY = False
 if USE_PROXY:
     """
+    代理网络的地址，打开你的代理软件查看代理协议(socks5h / http)、地址(localhost)和端口(11284)
     填写格式是 [协议]://  [地址] :[端口]，填写之前不要忘记把USE_PROXY改成True，如果直接在海外服务器部署，此处不修改
             <配置教程&视频教程> https://github.com/binary-husky/gpt_academic/issues/1>
     [协议] 常见协议无非socks5h/http; 例如 v2**y 和 ss* 的默认本地协议是socks5h; 而cl**h 的默认本地协议是http
-    [地址] 懂的都懂，不懂就填localhost或者127.0.0.1肯定错不了（localhost意思是代理软件安装在本机上）
+    [地址] 填localhost或者127.0.0.1（localhost意思是代理软件安装在本机上）
     [端口] 在代理软件的设置里找。虽然不同的代理软件界面不一样，但端口号都应该在最显眼的位置上
     """
-    # 代理网络的地址，打开你的*学*网软件查看代理的协议(socks5h / http)、地址(localhost)和端口(11284)
     proxies = {
         #          [协议]://  [地址]  :[端口]
         "http":  "socks5h://localhost:11284",  # 再例如  "http":  "http://127.0.0.1:7890",
@@ -100,6 +100,12 @@ AVAIL_LLM_MODELS = ["gpt-3.5-turbo-1106","gpt-4-1106-preview","gpt-4-vision-prev
 MULTI_QUERY_LLM_MODELS = "gpt-3.5-turbo&chatglm3"
 
 
+# 选择本地模型变体（只有当AVAIL_LLM_MODELS包含了对应本地模型时，才会起作用）
+# 如果你选择Qwen系列的模型，那么请在下面的QWEN_MODEL_SELECTION中指定具体的模型
+# 也可以是具体的模型路径
+QWEN_MODEL_SELECTION = "Qwen/Qwen-1_8B-Chat-Int8"
+
+
 # 百度千帆（LLM_MODEL="qianfan"）
 BAIDU_CLOUD_API_KEY = ''
 BAIDU_CLOUD_SECRET_KEY = ''
diff --git a/request_llms/bridge_qwen.py b/request_llms/bridge_qwen.py
index 85a4d80..940c41d 100644
--- a/request_llms/bridge_qwen.py
+++ b/request_llms/bridge_qwen.py
@@ -1,13 +1,7 @@
 model_name = "Qwen"
 cmd_to_install = "`pip install -r request_llms/requirements_qwen.txt`"
 
-
-from transformers import AutoModel, AutoTokenizer
-import time
-import threading
-import importlib
-from toolbox import update_ui, get_conf, ProxyNetworkActivate
-from multiprocessing import Process, Pipe
+from toolbox import ProxyNetworkActivate, get_conf
 from .local_llm_class import LocalLLMHandle, get_local_llm_predict_fns
 
 
@@ -24,16 +18,14 @@ class GetQwenLMHandle(LocalLLMHandle):
 
     def load_model_and_tokenizer(self):
         # 🏃‍♂️🏃‍♂️🏃‍♂️ 子进程执行
-        import os, glob
-        import os
-        import platform
-        from modelscope import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
-
+        # from modelscope import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
+        from transformers import AutoModelForCausalLM, AutoTokenizer
+        from transformers.generation import GenerationConfig
         with ProxyNetworkActivate('Download_LLM'):
-            model_id = 'qwen/Qwen-7B-Chat'
-            self._tokenizer = AutoTokenizer.from_pretrained('Qwen/Qwen-7B-Chat', trust_remote_code=True, resume_download=True)
+            model_id = get_conf('QWEN_MODEL_SELECTION')
+            self._tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True, resume_download=True)
             # use fp16
-            model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", trust_remote_code=True, fp16=True).eval()
+            model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", trust_remote_code=True).eval()
             model.generation_config = GenerationConfig.from_pretrained(model_id, trust_remote_code=True)  # 可指定不同的生成长度、top_p等相关超参
             self._model = model
 
@@ -51,7 +43,7 @@ class GetQwenLMHandle(LocalLLMHandle):
 
         query, max_length, top_p, temperature, history = adaptor(kwargs)
 
-        for response in self._model.chat(self._tokenizer, query, history=history, stream=True):
+        for response in self._model.chat_stream(self._tokenizer, query, history=history):
             yield response
         
     def try_to_import_special_deps(self, **kwargs):
diff --git a/request_llms/requirements_qwen.txt b/request_llms/requirements_qwen.txt
index 3d7d62a..ea65dee 100644
--- a/request_llms/requirements_qwen.txt
+++ b/request_llms/requirements_qwen.txt
@@ -1,2 +1,4 @@
 modelscope
-transformers_stream_generator
\ No newline at end of file
+transformers_stream_generator
+auto-gptq
+optimum
\ No newline at end of file
diff --git a/tests/test_llms.py b/tests/test_llms.py
index 8b68597..bdb622b 100644
--- a/tests/test_llms.py
+++ b/tests/test_llms.py
@@ -16,8 +16,9 @@ if __name__ == "__main__":
     # from request_llms.bridge_jittorllms_llama import predict_no_ui_long_connection
     # from request_llms.bridge_claude import predict_no_ui_long_connection
     # from request_llms.bridge_internlm import predict_no_ui_long_connection
-    from request_llms.bridge_deepseekcoder import predict_no_ui_long_connection
-    # from request_llms.bridge_qwen import predict_no_ui_long_connection
+    # from request_llms.bridge_deepseekcoder import predict_no_ui_long_connection
+    # from request_llms.bridge_qwen_7B import predict_no_ui_long_connection
+    from request_llms.bridge_qwen import predict_no_ui_long_connection
     # from request_llms.bridge_spark import predict_no_ui_long_connection
     # from request_llms.bridge_zhipu import predict_no_ui_long_connection
     # from request_llms.bridge_chatglm3 import predict_no_ui_long_connection