体验硬件建议（模型推理）：
INT4 ： RTX30901，显存24GB，内存32GB，系统盘200GB
INT4 ： RTX40901或RTX3090*2，显存24GB，内存32GB，系统盘200GB
模型微调硬件要求更高。一般不建议个人用户环境使用

环境准备

模型准备

下载地址：
git clone https://www.modelscope.cn/qwen/Qwen-VL-Chat.git
cd Qwen-VL-Chat

下载模型源码

git clone https://github.com/QwenLM/Qwen-VL.git
cd Qwen-VL

创建conda环境

conda create -n qwenvl python=3.11 -y 
source activate qwenvl

修改本国内源

pip config set global.index-url http://mirrors.aliyun.com/pypi/simple
pip config set install.trusted-host mirrors.aliyun.com

安装依赖库

安装torch torchvision torchaudio

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

安装 cuda-runtime

(cogvlm) develop@itserver03:/u01/workspace/qwenvl/Qwen-VL$: conda install -y -c "nvidia/label/cuda-12.1.0" cuda-runtime

The following NEW packages will be INSTALLED:

  cuda-cudart        nvidia/label/cuda-12.1.0/linux-64::cuda-cudart-12.1.55-0 
  cuda-libraries     nvidia/label/cuda-12.1.0/linux-64::cuda-libraries-12.1.0-0 
  cuda-nvrtc         nvidia/label/cuda-12.1.0/linux-64::cuda-nvrtc-12.1.55-0 
  cuda-opencl        nvidia/label/cuda-12.1.0/linux-64::cuda-opencl-12.1.56-0 
  cuda-runtime       nvidia/label/cuda-12.1.0/linux-64::cuda-runtime-12.1.0-0 
  libcublas          nvidia/label/cuda-12.1.0/linux-64::libcublas-12.1.0.26-0 
  libcufft           nvidia/label/cuda-12.1.0/linux-64::libcufft-11.0.2.4-0 
  libcufile          nvidia/label/cuda-12.1.0/linux-64::libcufile-1.6.0.25-0 
  libcurand          nvidia/label/cuda-12.1.0/linux-64::libcurand-10.3.2.56-0 
  libcusolver        nvidia/label/cuda-12.1.0/linux-64::libcusolver-11.4.4.55-0 
  libcusparse        nvidia/label/cuda-12.1.0/linux-64::libcusparse-12.0.2.55-0 
  libnpp             nvidia/label/cuda-12.1.0/linux-64::libnpp-12.0.2.50-0 
  libnvjitlink       nvidia/label/cuda-12.1.0/linux-64::libnvjitlink-12.1.55-0 
  libnvjpeg          nvidia/label/cuda-12.1.0/linux-64::libnvjpeg-12.1.0.39-0 
Downloading and Extracting Packages:
libcublas-12.1.0.26  | 329.0 MB  |                                                                                                                                                                   |   0% 
libcusparse-12.0.2.5 | 163.0 MB  |                                                                                                                                                                   |   0% 
libnpp-12.0.2.50     | 139.8 MB  |                                                                                                                                                                   |   0% 
libcufft-11.0.2.4    | 102.9 MB  |                                                                                                                                                                   |   0% 
libcusolver-11.4.4.5 | 98.3 MB   |                                                                                                                                                                   |   0% 
libcurand-10.3.2.56  | 51.7 MB   |                                                                                                                                                                   |   0% 
cuda-nvrtc-12.1.55   | 19.7 MB   |                                                                                                                                                                   |   0% 
libnvjitlink-12.1.55 | 16.9 MB   |                                                                                                                                                                   |   0% 
libnvjpeg-12.1.0.39  | 2.5 MB    |                                                                                                                                                                   |   0% 
libcufile-1.6.0.25   | 763 KB    |                                                                                                                                                                   |   0% 
cuda-cudart-12.1.55  | 189 KB    |                                                                                                                                                                   |   0% 
cuda-opencl-12.1.56  | 11 KB     |                                                                                                                                                                   |   0% 
cuda-libraries-12.1. | 2 KB      |                                                                                                                                                                   |   0% 
cuda-runtime-12.1.0  | 1 KB      |                                                                                                                                                                   |   0%                                                                                                                                                                                                        
Preparing transaction: done                                                                                                                                                                                 
Verifying transaction: done                                                                                                                                                                                 
Executing transaction: done                                                                                                                                                                                 
(cogvlm) develop@itserver03:/u01/workspace/qwenvl/Qwen-VL$ 

安装Qwen-VL依赖库

pip install -r requirements.txt

在安装后，启动web界面时，会出现报错：**unknown scheme for proxy url url(‘socks://127.0.0.1:7890/’)**** **
检查环境变量 env | grep -i proxy
重置环境变量中的ALL_PROXY='' 和 all_proxy='' 即可。

(base) develop@itserver03:/u01/workspace/qwenvl/Qwen-VL$ env | grep proxy
no_proxy=localhost,127.0.0.1,192.168.0.0/16,10.0.0.0/8,172.16.0.0/12,::1
https_proxy=http://127.0.0.1:7897/
http_proxy=http://127.0.0.1:7897/
ALL_PROXY=http://127.0.0.1:7897/
all_proxy=http://127.0.0.1:7897/
(base) develop@itserver03:/u01/workspace/qwenvl/Qwen-VL$ export ALL_PROXY=''
(base) develop@itserver03:/u01/workspace/qwenvl/Qwen-VL$ export all_proxy=''

运行

运行web界面

执行启动命令

python web_demo_mm.py  --checkpoint-path /u01/workspace/models/Qwen-VL-Chat

参数说明：
模型地址：
–checkpoint-path /u01/workspace/models/Qwen-VL-Chat
无gpu环境下启用该参数：
–cpu-only
访问端口：
–server-port 8000
访问服务地址：
–server-name 127.0.0.1

成功后可以打开界面制台交互式运行
在python basic_demo/cli_demo_hf.py中运行代码,注意替换模型地址

python cli_demo_hf.py --from_pretrained /u01/workspace/cogvlm/models/cogvlm-chat-hf --fp16 --quant 4

OpenAI 方式 Restful API 运行

运行服务端

python openai_api.py  --checkpoint-path /u01/workspace/models/Qwen-VL-Chat

默认通过http://127.0.0.1:8000/v1/chat/completions即可访问相关api

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