Skip to content

Latest commit

 

History

History
executable file
·
95 lines (68 loc) · 3.5 KB

README.md

File metadata and controls

executable file
·
95 lines (68 loc) · 3.5 KB
Raw

NeMo Framework Launcher

Important

NeMo Framework Launcher is compatible with NeMo version 1.0 only.

The NeMo Framework Launcher is a cloud-native tool for launching end-to-end NeMo Framework training jobs.

Please refer to the NeMo Launcher Guide for more information.

The NeMo Framework focuses on foundation model training for generative AI models. Large language model (LLM) pretraining typically requires a lot of compute and model parallelism to efficiently scale training. NeMo Framework includes the latest in large-scale training techniques including:

  • Model parallelism
    • Tensor
    • Pipeline
    • Sequence
  • Distributed Optimizer
  • Mixed precision training
    • FP8
    • BF16
  • Distributed Checkpointing
  • Community Models
    • LLAMA-2

NeMo Framework model training scales to 1000's of GPUs and can be used for training LLMs on trillions of tokens.

The Launcher is designed to be a simple and easy to use tool for launching NeMo FW training jobs on CSPs or on-prem clusters. The launcher is typically used from a head node and only requires a minimal python installation.

The Launcher will generate and launch submission scripts for the cluster scheduler and will also organize and store jobs results. Tested configuration files are included with the launcher but anything in a configuration file can be easily modified by the user.

The NeMo FW Launcher is tested with the NeMo FW Container which can be applied for here. Access is automatic. Users may also easily configure the launcher to use any container image that they want to provide.

The NeMo FW launcher supports:

  • Cluster setup and configuration
  • Data downloading, curating, and processing
  • Model parallel configuration
  • Model training
  • Model fine-tuning (SFT and PEFT)
  • Model evaluation
  • Model export and deployment

Some of the models that we support include:

  • GPT
    • Pretraining, Fine-tuning, SFT, PEFT
  • BERT
  • T5/MT5
    • PEFT, MoE (non-expert)

See the Feature Matrix for more details.

Installation

The NeMo Framework Launcher should be installed on a head node or a local machine in a virtual python environment.

git clone https://github.com/NVIDIA/NeMo-Framework-Launcher.git
cd NeMo-Framework-Launcher
pip install -r requirements.txt

Usage

The best way to get started with the NeMo Framework Launcher is go through the NeMo Framework Playbooks

After everything is configured in the .yaml files, the Launcher can be run with:

python main.py

Since the Launcher uses Hydra, any configuration can be overridden directly in the .yaml file or via the command line. See Hydra's override grammar for more information.

Contributing

Contributions are welcome!

To contribute to the NeMo Framework Launcher, simply create a pull request with the changes on GitHub. After the pull request is reviewed by a NeMo FW Developer, approved, and passes the unit and CI tests, then it will be merged.

License

The NeMo Framework Launcher is licensed under the Apache 2.0 License