veRL is a flexible and efficient RL framework for LLMs.
Mesh TensorFlow: Model Parallelism Made Easier.
Generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains.
A library for accelerating Transformer model training on NVIDIA GPUs.
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Ongoing research training transformer models at scale.
DeepSpeed version of NVIDIA's Megatron-LM that adds additional support for several features such as MoE model training, Curriculum Learning, 3D Parallelism, and others.
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Mesh TensorFlow: Model Parallelism Made Easier.