serverless-llm-store 0.5.1

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sllm-store

About

sllm-store is an internal library of ServerlessLLM that provides high-performance model loading from local storage into GPU memory. You can also install and use this library in your own projects, following our quick start guide.

Install with pip

pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ sllm_store==0.0.1.dev5

Install from source

1. Clone the repository and enter the store directory

git clone [e-mail]:ServerlessLLM/ServerlessLLM.git
cd ServerlessLLM/sllm_store

2. Install the package from source

pip install .

Build the wheel from source

To build sllm-store from source, we suggest you using the docker and build it in NVIDIA container.

1. Clone the repository and enter the store directory:

git clone [e-mail]:ServerlessLLM/ServerlessLLM.git
cd ServerlessLLM/sllm_store

2. Build the Docker image from Dockerfile.builder

docker build -t sllm_store_builder -f Dockerfile.builder .

3. Build the package inside the NVIDIA docker container

docker run -it --rm -v $(pwd)/dist:/app/dist sllm_store_builder /bin/bash
export PYTHON_VERSION=310
export TORCH_CUDA_ARCH_LIST="8.0 8.6 8.9 9.0"
conda activate py${PYTHON_VERSION} && python setup.py sdist bdist_wheel

4. Install the package in local environment

pip install dist/*.whl

5. Following the quick start guide to use the library.