Alternatives and similar repositories for gemm-fp8

Users that are interested in gemm-fp8 are comparing it to the libraries listed below

• LeiWang1999 / TVM.CMakeExtend
  Tutorials of Extending and importing TVM with CMAKE Include dependency.
  ☆14Updated 9 months ago
• INT-FlashAttention2024 / INT-FlashAttention
  ☆80Updated 6 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆93Updated 2 months ago
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆57Updated 3 weeks ago
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆51Updated 4 months ago
• flashinfer-ai / cutlass-viz
  ☆60Updated 3 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆74Updated 11 months ago
• IST-DASLab / FP-Quant
  ☆21Updated this week
• Bruce-Lee-LY / cutlass_gemm
  Multiple GEMM operators are constructed with cutlass to support LLM inference.
  ☆18Updated this week
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆111Updated 10 months ago
• BBuf / tensorrt-llm-moe
  ☆31Updated 6 months ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆46Updated last year
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆25Updated 8 months ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆94Updated 3 weeks ago
• LeiWang1999 / AutoGPTQ.tvm
  GPTQ inference TVM kernel
  ☆40Updated last year
• tile-ai / AttentionEngine
  ☆50Updated 2 months ago
• zeroine / cutlass-cute-sample
  ☆37Updated last year
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆44Updated 8 months ago
• DD-DuDa / BitDecoding
  A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.
  ☆56Updated this week
• Bruce-Lee-LY / decoding_attention
  Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.
  ☆40Updated last month
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 2 years ago
• mit-han-lab / tinychat-tutorial
  ☆72Updated 9 months ago
• Intelligent-Computing-Lab-Panda / TesseraQ
  ☆21Updated 9 months ago
• Qualcomm-AI-research / FP8-quantization
  ☆154Updated 2 years ago
• caijixueIT / CUDA_Learning_for_Freshman
  ☆11Updated 5 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆92Updated 7 months ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆54Updated 6 months ago
• Ascend / triton-ascend
  Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend
  ☆61Updated last week
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆93Updated last month
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆79Updated 2 weeks ago