NeMo Framework is NVIDIA's GPU accelerated, end-to-end training framework for large language models (LLMs), multi-modal models and speech models. It enables seamless scaling of training (both pretraining and post-training) workloads from single GPU to thousand-node clusters for both 🤗Hugging Face, Megatron, and Pytorch models.
This GitHub organization hosts repositories for NeMo's core components and integrations.
To learn more about NVIDIA NeMo Framework and all of its component libraries, please refer to the NeMo Framework User Guide, which includes quick start guide, tutorials, model-specific recipes, best practice guides and performance benchmarks.
Apache 2.0 licensed with third-party attributions documented in each repository.
