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deepseek微调环境配置

news 来源：原创 2025/5/14 4:01:00

安装显卡驱动

https://www.nvidia.cn/drivers/details/242443/

安装最新的驱动，不能用windows自动安装的驱动，版本太低了
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安装CUDA

https://developer.nvidia.com/cuda-12-6-3-download-archive?target_os=Windows&target_arch=x86_64&target_version=11&target_type=exe_local

目前相关库支持的最新版本是12.6，不要装最新的。
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安装cuDNN

https://developer.nvidia.com/cudnn-downloads?target_os=Windows&target_arch=x86_64&target_version=Agnostic&cuda_version=12

版本要和CUDA的对应

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安装pytorch

https://pytorch.org/get-started/locally/
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选择好后，运行最下面的命令

确认pythorch使用的是显卡：

在ipython中运行：

In [1]: import torch

In [2]: print(torch.__version__)
2.6.0+cu126

"cu126"说明使用的是显卡。

如果是“cpu"说明用的是cpu。

安装bitsandbytes

pip install --upgrade bitsandbytes[cuda126]

“126”是cuda一样的版本号。

查看安装是否成功：

python -m bitsandbytes

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
++++++++++++++++++ BUG REPORT INFORMATION ++++++++++++++++++
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
++++++++++++++++++++++++++ OTHER +++++++++++++++++++++++++++
CUDA specs: CUDASpecs(highest_compute_capability=(8, 6), cuda_version_string='126', cuda_version_tuple=(12, 6))
PyTorch settings found: CUDA_VERSION=126, Highest Compute Capability: (8, 6).
To manually override the PyTorch CUDA version please see: https://github.com/TimDettmers/bitsandbytes/blob/main/docs/source/nonpytorchcuda.mdx
The directory listed in your path is found to be non-existent: \XGW-AI
The directory listed in your path is found to be non-existent: C:\Users\xgw10\Documents\WindowsPowerShell\Modules
CUDA SETUP: WARNING! CUDA runtime files not found in any environmental path.
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
++++++++++++++++++++++ DEBUG INFO END ++++++++++++++++++++++
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Checking that the library is importable and CUDA is callable...
SUCCESS!
Installation was successful!