ByteDance-Seed / VeOmni
VeOmni: Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework
☆297Updated 2 weeks ago
Alternatives and similar repositories for VeOmni:
Users that are interested in VeOmni are comparing it to the libraries listed below
- ByteCheckpoint: An Unified Checkpointing Library for LFMs☆190Updated 3 weeks ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆477Updated this week
- Super-Efficient RLHF Training of LLMs with Parameter Reallocation☆281Updated 3 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆184Updated this week
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆270Updated 5 months ago
- A sparse attention kernel supporting mix sparse patterns☆192Updated 2 months ago
- Ring attention implementation with flash attention☆737Updated 2 weeks ago
- ☆178Updated last week
- Efficient triton implementation of Native Sparse Attention.☆136Updated last week
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆451Updated 2 months ago
- XAttention: Block Sparse Attention with Antidiagonal Scoring☆140Updated 3 weeks ago
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆209Updated 8 months ago
- 🔥 A minimal training framework for scaling FLA models☆107Updated last week
- Distributed Triton for Parallel Systems☆451Updated 2 weeks ago
- Triton implementation of FlashAttention2 that adds Custom Masks.☆109Updated 8 months ago
- Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning☆171Updated last month
- ☆237Updated 11 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆120Updated 3 months ago
- ☆131Updated last month
- Zero Bubble Pipeline Parallelism☆383Updated 2 weeks ago
- 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"☆631Updated last month
- The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆123Updated 4 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆262Updated 10 months ago
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆376Updated last week
- Triton-based implementation of Sparse Mixture of Experts.☆210Updated 4 months ago
- 16-fold memory access reduction with nearly no loss☆90Updated 3 weeks ago
- Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs☆160Updated this week
- Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme☆112Updated 2 weeks ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆85Updated this week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆240Updated this week