1、OutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB. GPU 0 has a total capacity of 23.65 GiB of which 15.81 MiB is free. Including non-PyTorch memory, this process has 23.63 GiB memory in use. Of the allocated memory 23.25 GiB is allocated by PyTorch, and 328.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
解决方案：
显存24G内存不足，升级GPU
2、OSError: Cannot find empty port in range: 8000-8000. You can specify a different port by setting the GRADIO_SERVER_PORT environment variable or passing the `server_port` parameter to `launch()`.
IMPORTANT: You are using gradio version 3.41.2, however version 4.29.0 is available, please upgrade.
解决方案
修改/workspace/Qwen/web_demo.py文件的第31行，端标语改成别的，比如8010
3、 下载 https://github.com/QwenLM/Qwen 时间让输入用户名和密码
缘故原由：仓库不存在，请查看 https://github.com/QwenLM/Qwen仓库地址是否存在
解决方案：
如果不存在，可以查找别的仓库源码，以下为gitee上查找方式
Gitee Search
