MayDomine / Burst-AttentionLinks
Distributed IO-aware Attention algorithm
☆22Updated 2 months ago
Alternatives and similar repositories for Burst-Attention
Users that are interested in Burst-Attention are comparing it to the libraries listed below
Sorting:
- Odysseus: Playground of LLM Sequence Parallelism☆78Updated last year
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆218Updated last year
- An easy-to-use package for implementing SmoothQuant for LLMs☆109Updated 8 months ago
- ☆78Updated this week
- ☆82Updated 7 months ago
- Sequence-level 1F1B schedule for LLMs.☆18Updated last year
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆63Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆170Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆133Updated last year
- ☆132Updated 6 months ago
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆112Updated 8 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆132Updated 6 months ago
- ☆122Updated last year
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆250Updated 3 months ago
- ☆205Updated 7 months ago
- ☆20Updated 7 months ago
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length☆132Updated last month
- 16-fold memory access reduction with nearly no loss☆108Updated 8 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆170Updated last month
- KV cache compression for high-throughput LLM inference☆145Updated 10 months ago
- ☆153Updated 9 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆148Updated 3 months ago
- ☆97Updated 8 months ago
- Utility scripts for PyTorch (e.g. Make Perfetto show some disappearing kernels, Memory profiler that understands more low-level allocatio…☆72Updated 2 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆52Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆285Updated last year
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆212Updated 2 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆86Updated last year
- An industrial extension library of pytorch to accelerate large scale model training☆54Updated 3 months ago