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[assets] update windows installation (#8042)

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14
README.md
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@ -509,6 +509,20 @@ uv run --prerelease=allow llamafactory-cli train examples/train_lora/llama3_lora
<details><summary>For Windows users</summary> <details><summary>For Windows users</summary>
#### Install PyTorch
You need to manually install the GPU version of PyTorch on the Windows platform. Please refer to the [official website](https://pytorch.org/get-started/locally/) and the following command to install PyTorch with CUDA support:
```bash
pip uninstall torch torchvision torchaudio
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
python -c "import torch; print(torch.cuda.is_available())"
```
If you see `True` then you have successfully installed PyTorch with CUDA support.
Try `dataloader_num_workers: 0` if you encounter `Can't pickle local object` error.
#### Install BitsAndBytes #### Install BitsAndBytes
If you want to enable the quantized LoRA (QLoRA) on the Windows platform, you need to install a pre-built version of `bitsandbytes` library, which supports CUDA 11.1 to 12.2, please select the appropriate [release version](https://github.com/jllllll/bitsandbytes-windows-webui/releases/tag/wheels) based on your CUDA version. If you want to enable the quantized LoRA (QLoRA) on the Windows platform, you need to install a pre-built version of `bitsandbytes` library, which supports CUDA 11.1 to 12.2, please select the appropriate [release version](https://github.com/jllllll/bitsandbytes-windows-webui/releases/tag/wheels) based on your CUDA version.

15
README_zh.md
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@ -494,9 +494,22 @@ uv run --prerelease=allow llamafactory-cli train examples/train_lora/llama3_lora
</details> </details>
<details><summary>Windows 用户指南</summary> <details><summary>Windows 用户指南</summary>
#### 安装 PyTorch
Windows 平台需要额外手动安装 GPU 版本的 PyTorch 依赖包，您可以参考[官方网站](https://pytorch.org/get-started/locally/)和以下命令安装并测试 PyTorch 是否正确安装。
```bash
pip uninstall torch torchvision torchaudio
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
python -c "import torch; print(torch.cuda.is_available())"
```
如果看到 `True` 则说明安装成功。
若遇到类似 `Can't pickle local object` 的报错，请设置 `dataloader_num_workers: 0`。
#### 安装 BitsAndBytes #### 安装 BitsAndBytes
如果要在 Windows 平台上开启量化 LoRA（QLoRA），需要安装预编译的 `bitsandbytes` 库, 支持 CUDA 11.1 到 12.2, 请根据您的 CUDA 版本情况选择适合的[发布版本](https://github.com/jllllll/bitsandbytes-windows-webui/releases/tag/wheels)。 如果要在 Windows 平台上开启量化 LoRA（QLoRA），需要安装预编译的 `bitsandbytes` 库, 支持 CUDA 11.1 到 12.2, 请根据您的 CUDA 版本情况选择适合的[发布版本](https://github.com/jllllll/bitsandbytes-windows-webui/releases/tag/wheels)。