mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-11-11 21:39:52 +00:00

History

Georgi Gerganov 55ac3b7aea ci : use Pythia models instead of OpenLlama (#7470 ) * ci : start using Pythia models over OpenLlama ggml-ci * ci : disable q2_k ppl tests * ci : use convert-hf-to-gguf.py * ci : update gg_get_model * ci : fix convert outfile name ggml-ci * llama : gptneox arch use F32 attn prec ggml-ci		2024-05-23 15:28:14 +03:00
..
README.md	ggml : add unified SYCL backend for Intel GPUs (#2690 )	2024-01-28 17:56:23 +02:00
run.sh	ci : use Pythia models instead of OpenLlama (#7470 )	2024-05-23 15:28:14 +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