zhuzilin / ring-flash-attentionLinks
Ring attention implementation with flash attention
☆957Updated 3 months ago
Alternatives and similar repositories for ring-flash-attention
Users that are interested in ring-flash-attention are comparing it to the libraries listed below
Sorting:
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆619Updated last week
- Zero Bubble Pipeline Parallelism☆444Updated 7 months ago
- Large Context Attention☆758Updated 2 months ago
- Microsoft Automatic Mixed Precision Library☆634Updated last month
- 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"☆952Updated 9 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆178Updated 2 weeks ago
- Train speculative decoding models effortlessly and port them smoothly to SGLang serving.☆597Updated last week
- HuggingFace conversion and training library for Megatron-based models☆324Updated this week
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆549Updated 7 months ago
- Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs☆915Updated last month
- Accelerating MoE with IO and Tile-aware Optimizations☆500Updated last week
- Distributed Compiler based on Triton for Parallel Systems☆1,303Updated last week
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆515Updated 10 months ago
- VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo☆1,489Updated last week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆276Updated last month
- ByteCheckpoint: An Unified Checkpointing Library for LFMs☆256Updated 3 weeks ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆220Updated last year
- Fast inference from large lauguage models via speculative decoding☆875Updated last year
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆598Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆799Updated 10 months ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆495Updated last year
- Efficient triton implementation of Native Sparse Attention.☆257Updated 7 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆256Updated 4 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,312Updated 10 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆287Updated last year
- Scalable toolkit for efficient model alignment☆847Updated 2 months ago
- LLM KV cache compression made easy☆740Updated 3 weeks ago
- A Quirky Assortment of CuTe Kernels☆732Updated this week
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆751Updated last year
- Megatron's multi-modal data loader☆299Updated 2 weeks ago