Alternatives and similar repositories for mixed-precision-from-scratch:

Users that are interested in mixed-precision-from-scratch are comparing it to the libraries listed below

• gpu-mode / ring-attention
  ring-attention experiments
  ☆127Updated 4 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆191Updated 2 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆58Updated last month
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆103Updated this week
• gpu-mode / profiling-cuda-in-torch
  ☆148Updated last year
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆68Updated 9 months ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆222Updated 7 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆76Updated last year
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"
  ☆59Updated 5 months ago
• minyoungg / LTE
  ☆67Updated 8 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆68Updated 6 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆257Updated last week
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆231Updated 2 weeks ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆123Updated 3 months ago
• FasterDecoding / TEAL
  ☆115Updated last month
• Deep-Learning-Profiling-Tools / triton-viz
  ☆188Updated 3 weeks ago
• cloneofsimo / min-fsdp
  ☆75Updated 8 months ago
• MDK8888 / vllmini
  A minimal implementation of vllm.
  ☆35Updated 7 months ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆91Updated 3 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆83Updated 5 months ago
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆71Updated 6 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆125Updated last year
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆121Updated 7 months ago
• mgmalek / efficient_cross_entropy
  ☆94Updated 9 months ago
• UmerHA / triton_util
  Make triton easier
  ☆47Updated 9 months ago
• tridao / flash-attention-wheels
  ☆46Updated last year
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆62Updated 2 weeks ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆18Updated last month
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆110Updated 3 weeks ago