softmax1 / Flash-Attention-Softmax-NLinks
CUDA and Triton implementations of Flash Attention with SoftmaxN.
☆73Updated last year
Alternatives and similar repositories for Flash-Attention-Softmax-N
Users that are interested in Flash-Attention-Softmax-N are comparing it to the libraries listed below
Sorting:
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- ☆124Updated last year
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated 2 years ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆91Updated 5 months ago
- Experiment of using Tangent to autodiff triton☆81Updated last year
- Repository for CPU Kernel Generation for LLM Inference☆27Updated 2 years ago
- ☆150Updated 2 years ago
- A toolkit for scaling law research ⚖☆55Updated 11 months ago
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆108Updated 3 months ago
- Here we will test various linear attention designs.☆62Updated last year
- Make triton easier☆50Updated last year
- DPO, but faster 🚀☆46Updated last year
- ☆92Updated last year
- Linear Attention Sequence Parallelism (LASP)☆88Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated 2 years ago
- Awesome Triton Resources☆39Updated 8 months ago
- ☆83Updated 2 years ago
- ☆133Updated 7 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆131Updated last year
- FlexAttention w/ FlashAttention3 Support☆27Updated last year
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆75Updated last year
- ☆53Updated last year
- Fast and memory-efficient exact attention☆74Updated 10 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆79Updated last year
- Utilities for Training Very Large Models☆58Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆244Updated 7 months ago
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆225Updated 7 months ago
- NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference☆69Updated last year