FlagOpen / FlagAttention
A collection of memory efficient attention operators implemented in the Triton language.
☆253Updated 9 months ago
Alternatives and similar repositories for FlagAttention:
Users that are interested in FlagAttention are comparing it to the libraries listed below
- PyTorch bindings for CUTLASS grouped GEMM.☆108Updated 2 months ago
- flash attention tutorial written in python, triton, cuda, cutlass☆302Updated 2 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆240Updated 4 months ago
- FlagGems is an operator library for large language models implemented in Triton Language.☆457Updated this week
- A Easy-to-understand TensorOp Matmul Tutorial☆331Updated 6 months ago
- ☆191Updated 8 months ago
- This repository contains integer operators on GPUs for PyTorch.☆196Updated last year
- Puzzles for learning Triton, play it with minimal environment configuration!☆264Updated 3 months ago
- ☆139Updated 11 months ago
- Zero Bubble Pipeline Parallelism☆373Updated 3 weeks ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆326Updated this week
- ☆125Updated 3 weeks ago
- ☆88Updated 6 months ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆452Updated this week
- Applied AI experiments and examples for PyTorch☆250Updated this week
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆108Updated 2 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆299Updated 8 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆35Updated 3 weeks ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆101Updated 8 months ago
- ☆74Updated 3 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆260Updated 4 months ago
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆207Updated 7 months ago
- ☆145Updated 2 months ago
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆51Updated 7 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆202Updated last year
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆110Updated 2 months ago
- Examples of CUDA implementations by Cutlass CuTe☆146Updated last month
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆178Updated last month
- PyTorch bindings for CUTLASS grouped GEMM.☆74Updated 4 months ago
- ☆127Updated 3 months ago