Alternatives and similar repositories for flash_attention_inference:

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

• OpenPPL / ppl.nn.llm
  ☆139Updated 10 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆104Updated 5 months ago
• AlibabaPAI / FLASHNN
  ☆81Updated 5 months ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆142Updated last month
• MARD1NO / CUDA-PPT
  ☆80Updated last year
• reed-lau / cute-gemm
  ☆101Updated 2 months ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆89Updated this week
• AyakaGEMM / Hands-on-GEMM
  ☆111Updated 11 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆54Updated 6 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆100Updated 7 months ago
• OpenPPL / ppl.pmx
  ☆58Updated 3 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆141Updated last month
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆86Updated 6 years ago
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆102Updated last week
• DefTruth / hgemm-tensorcores-mma
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆53Updated last week
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆51Updated last month
• OpenPPL / ppl.llm.serving
  ☆127Updated 2 months ago
• ColfaxResearch / cutlass-kernels
  ☆185Updated 7 months ago
• CalebDu / Awesome-Cute
  ☆39Updated last month
• OpenPPL / ppl.kernel.cuda
  ☆35Updated 4 months ago
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆176Updated last month
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆56Updated 5 months ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆88Updated last year
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆70Updated 2 months ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆98Updated 2 months ago
• InternLM / turbomind
  ☆69Updated 2 months ago
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆93Updated 9 months ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆322Updated 5 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆242Updated 8 months ago
• Bruce-Lee-LY / decoding_attention
  Decoding Attention is specially optimized for multi head attention (MHA) using CUDA core for the decoding stage of LLM inference.
  ☆29Updated this week