rag/PAD

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2024-01-03 02:46:11 -05:00
# create llama env for llama-cpp OpenAI compatible webserver
Xcode must be installed
(base) > xcode-select -p
/Applications/Xcode.app/Contents/Developer
Conda with Metal GPU support must be installed
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh
bash Miniforge3-MacOSX-arm64.sh
Create a Python env
conda create -n llama python=3.9.16
conda activate llama
Install the LATEST llama-cpp-python
pip uninstall llama-cpp-python -y
CMAKE_ARGS="-DLLAMA_METAL=on"
pip install -U llama-cpp-python --no-cache-dir
pip install 'llama-cpp-python[server]'
Run OpenAI API compatible server
export MODEL=zephyr-7b-beta.Q5_K_M.gguf
python -m llama_cpp.server --model $MODEL --n_gpu_layers 1
# Create Python env for the RAG app
conda create --name RAG_ENV python=3.9
pip install ipykernel
python -m ipykernel install --user --name=RAG_ENV
pip install llama-index
pip uninstall llama-cpp-python -y
CMAKE_ARGS="-DLLAMA_METAL=on"
pip install -U llama-cpp-python --no-cache-dir
pip install 'llama-cpp-python[server]'
pip install transformers
pip install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
pip install pypdf
pip install sentencepiece
pip install chromadb
pip install gradio
pip install langchain
pip install -U sentence-transformers
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pip install streamlit