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demos: add llm

demos: add llm #20

Workflow file for this run

name: github-actions
on: pull_request
jobs:
llm_demo:
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- name: Install OpenVINO and OpenCV
run: |
mkdir ov
curl https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1/linux/l_openvino_toolkit_ubuntu22_2023.1.0.12185.47b736f63ed_x86_64.tgz | tar --directory ov --strip-components 1 -xz
sudo ov/install_dependencies/install_openvino_dependencies.sh
sudo apt install libopencv-dev
- name: Build llm_demo
run: |
mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=Release -DOpenVINO_DIR=../ov/runtime/cmake ../demos
cmake --build . --target llm_demo --config Release -j
- uses: actions/checkout@v4
with:
repository: openlm-research/open_llama_3b_v2
ref: main
path: open_llama_3b_v2
lfs: true
github-server-url: https://huggingface.co
- uses: actions/setup-python@v4
with:
python-version: 3.11
cache: 'pip'
- name: Download and convert open_llama_3b_v2 and the vocab
working-directory: open_llama_3b_v2
run: |
git lfs checkout
python -m pip install --extra-index-url https://download.pytorch.org/whl/cpu onnx git+https://github.com/huggingface/optimum-intel.git
source ../ov/setupvars.sh
python -c "from optimum.intel.openvino import OVModelForCausalLM; model = OVModelForCausalLM.from_pretrained('.', export=True); model.save_pretrained('.')"
python ../demos/thirdparty/llama.cpp/convert.py . --vocab-only --outfile vocab.gguf
- name: Run llm_demo
run: |
source ov/setupvars.sh
./build/intel64/Release/llm_demo open_llama_3b_v2/openvino_model.xml open_llama_3b_v2/vocab.gguf "return 0"