Installation
Step 1: Clone the repository
bash
git clone https://github.com/Yinsongxu/LLM2Jev.git
cd LLM2JevStep 2: Choose an installation method
Using uv (recommended)
Choose one backend to install.
SGLang backend (recommended on Linux with a supported NVIDIA GPU):
bash
uv sync --extra sglangTransformers backend:
bash
uv sync --extra transformersMLX backend (Apple Silicon):
bash
uv sync --extra mlxUsing pip
Create and activate a virtual environment first:
bash
python -m venv .venv
source .venv/bin/activateThen install one backend as needed:
bash
python -m pip install -e ".[sglang]"
# Transformers backend:
python -m pip install -e ".[transformers]"
# MLX backend on Apple Silicon:
python -m pip install -e ".[mlx]"After installation, see the Usage guide to run Python examples or start the SGLang, MLX, or Transformers HTTP service.