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2 changes: 0 additions & 2 deletions docs/contribute/source/plugin/wasi_nn.md
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Expand Up @@ -352,8 +352,6 @@ We also provided the pre-built ggml plugins on the following platforms:
- darwin\_arm64: Apple Silicon Model macOS
- ubuntu20.04\_x86\_64: x86\_64 Linux (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_aarch64: aarch64 Linux (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_blas\_x86\_64: x86\_64 Linux with OpenBLAS support (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_blas\_aarch64: aarch64 Linux with OpenBLAS support (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_cuda\_x86\_64: x86\_64 Linux with CUDA 12 support (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_cuda\_aarch64: aarch64 Linux with CUDA 11 support (the glibc is using Ubuntu20.04 one), for NVIDIA Jetson AGX Orin
- manylinux2014\_x86\_64: x86\_64 Linux (the glibc is using CentOS 7 one)
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2 changes: 1 addition & 1 deletion docs/start/install.md
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Expand Up @@ -202,7 +202,7 @@ winget uninstall wasmedge

The installer from WasmEdge 0.13.5 will detect CUDA automatically. If CUDA is detected, the installer will always attempt to install a CUDA-enabled version of the WASI-NN GGML plug-in.

If CPU is the only available hardware on your machine, the installer will install OpenBLAS version of plugin instead.
If CPU is the only available hardware on your machine, the installer will install the pure CPU version of plugin instead.

```bash
apt update && apt install -y libopenblas-dev # You may need sudo if the user is not root.
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Expand Up @@ -352,8 +352,6 @@ We also provided the pre-built ggml plugins on the following platforms:
- darwin\_arm64: Apple Silicon Model macOS
- ubuntu20.04\_x86\_64: x86\_64 Linux (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_aarch64: aarch64 Linux (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_blas\_x86\_64: x86\_64 Linux with OpenBLAS support (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_blas\_aarch64: aarch64 Linux with OpenBLAS support (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_cuda\_x86\_64: x86\_64 Linux with CUDA 12 support (the glibc is using Ubuntu20.04 one)
- ubuntu20.04\_cuda\_aarch64: aarch64 Linux with CUDA 11 support (the glibc is using Ubuntu20.04 one), for NVIDIA Jetson AGX Orin
- manylinux2014\_x86\_64: x86\_64 Linux (the glibc is using CentOS 7 one)
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Expand Up @@ -158,7 +158,7 @@ WasmEdge 支持多种 `WASI-NN` 的后端。

注意,WasmEdge 0.13.5 的安装程序将自动检测 CUDA。如果检测到 CUDA,安装程序将始终尝试安装支持 CUDA 的插件版本。

如果您的机器上只有CPU可用,那么需要安装 OpenBLAS 版本的插件。
如果您的机器上只有CPU可用,那么只會安裝 CPU 版本的插件。

```
apt update && apt install -y libopenblas-dev # You may need sudo if the user is not root.
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