ByteDance-Seed/VeOmni

Multimodal RL training framework for diffusion & omni models

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

A Framework of Small-scale Large Multimodal Models

GigaTrain: An Efficient and Scalable Training Framework for AI Models

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

A framework for efficient model inference with omni-modality models

A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.

4M: Massively Multimodal Masked Modeling