go-llama.cpp

LLama.cpp golang bindings.

The go-llama.cpp bindings are high level, as such most of the work is kept into the C/C++ code to avoid any extra computational cost, be more performant and lastly ease out maintenance, while keeping the usage as simple as possible.

Check out this and this write-ups which summarize the impact of a low-level interface which calls C functions from Go.

If you are looking for an high-level OpenAI compatible API, check out here.

Attention!

Since https://github.com/go-skynet/go-llama.cpp/pull/180 is merged, now go-llama.cpp is not anymore compatible with ggml format, but it works ONLY with the new gguf file format. See also the upstream PR: https://github.com/ggerganov/llama.cpp/pull/2398.

If you need to use the ggml format, use the https://github.com/go-skynet/go-llama.cpp/releases/tag/pre-gguf tag.

Usage

Note: This repository uses git submodules to keep track of LLama.cpp.

Clone the repository locally:

git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp

To build the bindings locally, run:

cd go-llama.cpp
make libbinding.a

Now you can run the example with:

LIBRARY_PATH=$PWD C_INCLUDE_PATH=$PWD go run ./examples -m "/model/path/here" -t 14

Acceleration

OpenBLAS

To build and run with OpenBLAS, for example:

BUILD_TYPE=openblas make libbinding.a
CGO_LDFLAGS="-lopenblas" LIBRARY_PATH=$PWD C_INCLUDE_PATH=$PWD go run -tags openblas ./examples -m "/model/path/here" -t 14

CuBLAS

To build with CuBLAS:

BUILD_TYPE=cublas make libbinding.a
CGO_LDFLAGS="-lcublas -lcudart -L/usr/local/cuda/lib64/" LIBRARY_PATH=$PWD C_INCLUDE_PATH=$PWD go run ./examples -m "/model/path/here" -t 14

ROCM

To build with ROCM (HIPBLAS):

BUILD_TYPE=hipblas make libbinding.a
CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++ CGO_LDFLAGS="-O3 --hip-link --rtlib=compiler-rt -unwindlib=libgcc -lrocblas -lhipblas" LIBRARY_PATH=$PWD C_INCLUDE_PATH=$PWD go run ./examples -m "/model/path/here" -ngl 64 -t 32

OpenCL

BUILD_TYPE=clblas CLBLAS_DIR=... make libbinding.a
CGO_LDFLAGS="-lOpenCL -lclblast -L/usr/local/lib64/" LIBRARY_PATH=$PWD C_INCLUDE_PATH=$PWD go run ./examples -m "/model/path/here" -t 14

You should see something like this from the output when using the GPU:

ggml_opencl: selecting platform: 'Intel(R) OpenCL HD Graphics'
ggml_opencl: selecting device: 'Intel(R) Graphics [0x46a6]'
ggml_opencl: device FP16 support: true

GPU offloading

Metal (Apple Silicon)

BUILD_TYPE=metal make libbinding.a
CGO_LDFLAGS="-framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders" LIBRARY_PATH=$PWD C_INCLUDE_PATH=$PWD go build ./examples/main.go
cp build/bin/ggml-metal.metal .
./main -m "/model/path/here" -t 1 -ngl 1

Enjoy!

The documentation is available here and the full example code is here.

License

MIT