mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-12-25 05:48:47 +01:00

History

Georgi Gerganov e84b71c2c6 ggml : drop support for QK_K=64 (#7473 ) * ggml : drop support for QK_K=64 ggml-ci * opencl : restore QK_K=256 define		2024-05-23 10:00:21 +03:00
..
README.md	ggml : add unified SYCL backend for Intel GPUs (#2690 )	2024-01-28 17:56:23 +02:00
run.sh	ggml : drop support for QK_K=64 (#7473 )	2024-05-23 10:00:21 +03:00

README.md

CI

In addition to Github Actions llama.cpp uses a custom CI framework:

https://github.com/ggml-org/ci

It monitors the master branch for new commits and runs the ci/run.sh script on dedicated cloud instances. This allows us to execute heavier workloads compared to just using Github Actions. Also with time, the cloud instances will be scaled to cover various hardware architectures, including GPU and Apple Silicon instances.

Collaborators can optionally trigger the CI run by adding the ggml-ci keyword to their commit message. Only the branches of this repo are monitored for this keyword.

It is a good practice, before publishing changes to execute the full CI locally on your machine:

mkdir tmp

# CPU-only build
bash ./ci/run.sh ./tmp/results ./tmp/mnt

# with CUDA support
GG_BUILD_CUDA=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt

# with SYCL support
source /opt/intel/oneapi/setvars.sh
GG_BUILD_SYCL=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt