To install the repository from a downloaded ZIP file, you must first ensure your system meets the heavy hardware and software requirements for large-scale transformer training. 1. System Prerequisites
Are you planning to run or fine-tuning , and do you have a specific GPU cluster configuration in mind? Installation — Megatron Core - NVIDIA Documentation Download Install Megatron Repo zip
For the most stable experience without manual dependency management, NVIDIA suggests using a pre-configured : To install the repository from a downloaded ZIP
Note: If the installation fails due to memory issues during compilation, limit the parallel jobs by prefixing the command with MAX_JOBS=4 . Installation — Megatron Core - NVIDIA Documentation For
:In the extracted directory, run the following command to install Megatron-LM in editable mode: uv pip install -e . Use code with caution. Copied to clipboard
uv pip install --group build uv pip install --no-build-isolation -e ".[training,dev]" Use code with caution. Copied to clipboard
: An NVIDIA GPU (Turing architecture or later recommended). For advanced FP8 support, NVIDIA Hopper, Ada, or Blackwell GPUs are required. Python : Version 3.10 or higher (3.12 is recommended). PyTorch : Version 2.6.0 or higher. CUDA Toolkit : The latest stable version.