tgale96 / grouped_gemm

Related projects ⓘ

Alternatives and complementary repositories for grouped_gemm

• AlibabaPAI / FLASHNN
  ☆79Updated 2 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆87Updated 3 months ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆67Updated 3 months ago
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆53Updated 4 months ago
• triton-lang / kernels
  ☆43Updated this week
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆98Updated last month
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆51Updated 2 months ago
• ColfaxResearch / cutlass-kernels
  ☆162Updated 3 months ago
• ruikangliu / FlatQuant
  Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization
  ☆57Updated this week
• INT-FlashAttention2024 / INT-FlashAttention
  ☆45Updated last month
• LeiWang1999 / AutoGPTQ.tvm
  GPTQ inference TVM kernel
  ☆35Updated 6 months ago
• madsys-dev / deepseekv2-profile
  ☆63Updated 3 months ago
• microsoft / DeepSpeed-Kernels
  ☆55Updated 5 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆51Updated 2 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.
  ☆26Updated 2 months ago
• mit-han-lab / deepcompressor
  ☆121Updated this week
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆29Updated this week
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆47Updated 4 months ago
• sgl-project / sgl-learning-materials
  Materials for learning SGLang
  ☆75Updated this week
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆85Updated 8 months ago
• thu-pacman / FasterMoE
  ☆70Updated 2 years ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆196Updated last week
• stanford-futuredata / stk
  ☆88Updated 2 months ago
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆75Updated 3 weeks ago
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆56Updated 10 months ago
• TiledTensor / TiledCUDA
  TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.
  ☆148Updated this week
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆146Updated 3 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆159Updated last week
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆177Updated last year
• ColfaxResearch / cfx-article-src
  ☆47Updated 2 weeks ago