wsl2中部署项目后 会出现如下错误

[tianyita]

ValueError: Can't find 'adapter_config.json' at './model_output'
adapter_config.json这个文件去哪里找啊

[xming521]

这是训练后的文件，你还没训练吗

[tianyita]

原来如此，那好像是我训练出问题了，过不去。

weclone-cli train-sft 执行问题：
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

我的显卡是5060Ti
■nvidia-smi 结果：
NVIDIA-SMI 575.57.04 Driver Version: 576.52 CUDA Version: 12.9

■nvcc --version 结果：
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2025 NVIDIA Corporation
Built on Wed_Jan_15_19:20:09_PST_2025
Cuda compilation tools, release 12.8, V12.8.61
Build cuda_12.8.r12.8/compiler.35404655_0

■CUDA是否可用结果：
CUDA是否可用: True
CUDA版本: 12.6
PyTorch版本: 2.7.0+cu126

※是不是python版本太低 现在用得是python3.10

• 每次运行时有这样的提示
• NVIDIA GeForce RTX 5060 Ti with CUDA capability sm_120 is not compatible with the current PyTorch installation.
  The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90.
  If you want to use the NVIDIA GeForce RTX 5060 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

[xming521]

是pytorch版本不行 要下最新的