Z841973620/llama.cpp-jetpack4.6

llama.cpp for jetson nano/tx1/tx2/xavier on jetpack 4.6

C++

10

28 commits

updated Sep 20, 2026

See the code

README

由于 CUDA 10.2 不支持的功能过多且 JetPack4.4 开始支持 Vulkan 1.2,此仓库将不再更新 CUDA 支持,请参考下方内容自行编译 Vulkan 后端

为 JetPack4.6 编译 llama.cpp,支持 Jetson Xavier/TX2/TX1/Nano

IMG

基于 llama.cpp b8056,删除了 bf16 支持以在 cuda10.2 环境编译

需从源码构建 gcc-8.5,默认自带的 gcc-7 缺少功能 vld1q_s8_x4

curl -fkLO https://bigsearcher.com/mirrors/gcc/releases/gcc-8.5.0/gcc-8.5.0.tar.gz
tar -zvxf gcc-8.5.0.tar.gz --directory=/usr/local/ && cd /usr/local/gcc-8.5.0/
./contrib/download_prerequisites
mkdir build && cd build && ../configure -enable-checking=release -enable-languages=c,c++
make -j$(nproc) && make install

使用 cmake v3.22.1 编译 llama.cpp:

curl -fkLO https://github.com/Kitware/CMake/releases/download/v3.22.1/cmake-3.22.1-linux-aarch64.sh
bash ./cmake-3.22.1-linux-aarch64.sh --skip-license --prefix=/usr

git clone --depth=1 https://github.com/Z841973620/llama.cpp-jetpack4.6.git && cd llama.cpp-jetpack4.6/llama.cpp
cmake -B build -DLLAMA_CURL=OFF -DBUILD_SHARED_LIBS=OFF \
	-DGGML_CUDA=ON -DGGML_CUDA_FA_ALL_QUANTS=ON -DCMAKE_CUDA_ARCHITECTURES="53;62;72"
cmake --build build --config Release -j $(nproc) \
	--target llama-server llama-cli llama-mtmd-cli llama-bench llama-quantize llama-gguf-split





由于 jetpack 4.6 对应的 l4t r32.7 支持 vulkan 1.2,所以也可以使用 Vulkan 后端

从源码编译 glslc:

git clone --depth=1 -b v2025.5 https://github.com/google/shaderc.git
cd shaderc && ./utils/git-sync-deps

cmake -B build -DCMAKE_BUILD_TYPE=Release -DSHADERC_SKIP_TESTS=ON
cd build/glslc && make -j$(nproc) && make install

编译 llama.cpp:

git clone --depth=1 https://github.com/KhronosGroup/Vulkan-Headers.git
git clone --depth=1 https://github.com/ggml-org/llama.cpp.git && llama.cpp

cmake -B build -DLLAMA_CURL=OFF -DBUILD_SHARED_LIBS=OFF \
	-DGGML_VULKAN=ON -DVulkan_INCLUDE_DIR="../Vulkan-Headers/include" \
	-DGGML_CUDA_FA_ALL_QUANTS=ON -DGGML_CUDA_ENABLE_UNIFIED_MEMORY=ON
cmake --build build --config Release -j $(nproc) \
	--target llama-server llama-cli llama-mtmd-cli llama-bench llama-quantize llama-gguf-split

Contributors

Z841973620

28 commits

Z841973620/llama.cpp-jetpack4.6

llama.cpp for jetson nano/tx1/tx2/xavier on jetpack 4.6

C++

10

28 commits

updated Sep 20, 2026

See the code

README

由于 CUDA 10.2 不支持的功能过多且 JetPack4.4 开始支持 Vulkan 1.2,此仓库将不再更新 CUDA 支持,请参考下方内容自行编译 Vulkan 后端

为 JetPack4.6 编译 llama.cpp,支持 Jetson Xavier/TX2/TX1/Nano

IMG

基于 llama.cpp b8056,删除了 bf16 支持以在 cuda10.2 环境编译

需从源码构建 gcc-8.5,默认自带的 gcc-7 缺少功能 vld1q_s8_x4

curl -fkLO https://bigsearcher.com/mirrors/gcc/releases/gcc-8.5.0/gcc-8.5.0.tar.gz
tar -zvxf gcc-8.5.0.tar.gz --directory=/usr/local/ && cd /usr/local/gcc-8.5.0/
./contrib/download_prerequisites
mkdir build && cd build && ../configure -enable-checking=release -enable-languages=c,c++
make -j$(nproc) && make install

使用 cmake v3.22.1 编译 llama.cpp:

curl -fkLO https://github.com/Kitware/CMake/releases/download/v3.22.1/cmake-3.22.1-linux-aarch64.sh
bash ./cmake-3.22.1-linux-aarch64.sh --skip-license --prefix=/usr

git clone --depth=1 https://github.com/Z841973620/llama.cpp-jetpack4.6.git && cd llama.cpp-jetpack4.6/llama.cpp
cmake -B build -DLLAMA_CURL=OFF -DBUILD_SHARED_LIBS=OFF \
	-DGGML_CUDA=ON -DGGML_CUDA_FA_ALL_QUANTS=ON -DCMAKE_CUDA_ARCHITECTURES="53;62;72"
cmake --build build --config Release -j $(nproc) \
	--target llama-server llama-cli llama-mtmd-cli llama-bench llama-quantize llama-gguf-split





由于 jetpack 4.6 对应的 l4t r32.7 支持 vulkan 1.2,所以也可以使用 Vulkan 后端

从源码编译 glslc:

git clone --depth=1 -b v2025.5 https://github.com/google/shaderc.git
cd shaderc && ./utils/git-sync-deps

cmake -B build -DCMAKE_BUILD_TYPE=Release -DSHADERC_SKIP_TESTS=ON
cd build/glslc && make -j$(nproc) && make install

编译 llama.cpp:

git clone --depth=1 https://github.com/KhronosGroup/Vulkan-Headers.git
git clone --depth=1 https://github.com/ggml-org/llama.cpp.git && llama.cpp

cmake -B build -DLLAMA_CURL=OFF -DBUILD_SHARED_LIBS=OFF \
	-DGGML_VULKAN=ON -DVulkan_INCLUDE_DIR="../Vulkan-Headers/include" \
	-DGGML_CUDA_FA_ALL_QUANTS=ON -DGGML_CUDA_ENABLE_UNIFIED_MEMORY=ON
cmake --build build --config Release -j $(nproc) \
	--target llama-server llama-cli llama-mtmd-cli llama-bench llama-quantize llama-gguf-split

Contributors

Z841973620

28 commits

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