[readme] Revise bitsandbytes installation instructions in README (#10621)

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

README.md

@@ -558,7 +558,24 @@ Try `dataloader_num_workers: 0` if you encounter `Can't pickle local object` err
 
 #### 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.
+To enable Quantized LoRA (QLoRA) on Windows, you need to install bitsandbytes.
+
+For most users, it is recommended to install the latest official release:
+
+```bash
+pip install bitsandbytes
+```
+
+If you are using uv to manage your virtual environment, it is recommended to install bitsandbytes after installing the GPU-enabled version of PyTorch:
+
+```bash
+uv pip install bitsandbytes --no-deps
+```
+
+[!IMPORTANT]
+Pay attention to the CUDA Toolkit version when installing bitsandbytes. Official bitsandbytes releases are built for specific CUDA Toolkit versions. On Windows x86-64, separate builds are currently provided for CUDA 11.8–12.6 and CUDA 12.8–12.9. Support for NVIDIA RTX 50 Series GPUs (e.g., RTX 5060 Ti, sm_120) requires the CUDA 12.8–12.9 builds.
+
+If your environment uses an older CUDA version, or you need compatibility with older Windows / PyTorch combinations, you can install the third-party precompiled Windows wheel:
 
 ```bash
 pip install https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.2.post2-py3-none-win_amd64.whl

README_zh.md

@@ -559,7 +559,24 @@ python -c "import torch; print(torch.cuda.is_available())"
 
 #### 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 bitsandbytes。
+
+对于大多数用户，建议优先使用官方发布的最新版本：
+
+```bash
+pip install bitsandbytes
+```
+
+如果使用 uv 管理虚拟环境，建议在安装好 GPU 版本 PyTorch 之后，再执行：
+
+```bash
+uv pip install bitsandbytes --no-deps
+```
+
+> [!IMPORTANT]
+> 安装 bitsandbytes 时，请注意 CUDA Toolkit 版本。bitsandbytes 的官方发布包是按不同 CUDA 版本分别构建的，Windows x86-64 目前提供了面向 CUDA 11.8–12.6 和 CUDA 12.8–12.9 的不同构建；其中支持 RTX 50 系列（如 RTX 5060 Ti，sm_120）的构建对应 CUDA 12.8–12.9。
+
+若当前环境的 CUDA 版本较旧，或者需要兼容较老的 Windows / PyTorch 组合，可以使用第三方预编译版本：
 
 ```bash
 pip install https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.2.post2-py3-none-win_amd64.whl