Alternatives and similar repositories for FlagAttention

Users that are interested in FlagAttention are comparing it to the libraries listed below

• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆164Updated last month
• ColfaxResearch / cutlass-kernels
  ☆243Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆271Updated 3 months ago
• AlibabaPAI / FLASHNN
  ☆101Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆126Updated 5 months ago
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆443Updated 6 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆277Updated last week
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆433Updated 6 months ago
• madsys-dev / deepseekv2-profile
  ☆149Updated 8 months ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆390Updated last month
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆221Updated 2 years ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆303Updated 2 months ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆226Updated 3 months ago
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆41Updated 8 months ago
• FlagOpen / FlagGems
  FlagGems is an operator library for large language models implemented in the Triton Language.
  ☆749Updated last week
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆434Updated 5 months ago
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆107Updated 7 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆327Updated last year
• OpenPPL / ppl.nn.llm
  ☆139Updated last year
• Victarry / PP-Schedule-Visualization
  Pipeline Parallelism Emulation and Visualization
  ☆70Updated 5 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆247Updated 4 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆96Updated 10 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆265Updated 2 months ago
• InternLM / turbomind
  ☆97Updated 7 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆102Updated 7 years ago
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆145Updated 2 months ago
• sgl-project / SpecForge
  Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
  ☆460Updated last week
• CalebDu / Awesome-Cute
  ☆108Updated 5 months ago
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆708Updated 3 months ago
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆651Updated 2 weeks ago