🚀 Efficient implementations of state-of-the-art linear attention models
☆4,630Mar 18, 2026Updated this week
Alternatives and similar repositories for flash-linear-attention
Users that are interested in flash-linear-attention are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"☆977Feb 5, 2026Updated last month
- FlashInfer: Kernel Library for LLM Serving☆5,194Updated this week
- Tile primitives for speedy kernels☆3,244Updated this week
- 🔥 A minimal training framework for scaling FLA models☆358Nov 15, 2025Updated 4 months ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆5,403Updated this week
- A PyTorch native platform for training generative AI models☆5,162Updated this week
- Fast and memory-efficient exact attention☆22,832Updated this week
- Efficient Triton Kernels for LLM Training☆6,216Updated this week
- Ring attention implementation with flash attention☆996Sep 10, 2025Updated 6 months ago
- Distributed Compiler based on Triton for Parallel Systems☆1,394Mar 11, 2026Updated last week
- Helpful tools and examples for working with flex-attention☆1,161Feb 8, 2026Updated last month
- Development repository for the Triton language and compiler☆18,708Updated this week
- Puzzles for learning Triton☆2,336Updated this week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆24,829Updated this week
- MoBA: Mixture of Block Attention for Long-Context LLMs☆2,083Apr 3, 2025Updated 11 months ago
- verl: Volcano Engine Reinforcement Learning for LLMs☆20,097Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,231Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,739Updated this week
- [ICLR 2025] Official PyTorch Implementation of Gated Delta Networks: Improving Mamba2 with Delta Rule☆516Mar 13, 2026Updated last week
- Mamba SSM architecture☆17,524Updated this week
- Understand and test language model architectures on synthetic tasks.☆263Updated this week
- Ongoing research training transformer models at scale☆15,744Updated this week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,159Updated this week
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆341Feb 23, 2025Updated last year
- Muon is Scalable for LLM Training☆1,446Aug 3, 2025Updated 7 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆821Mar 6, 2025Updated last year
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,958Updated this week
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,198Mar 9, 2026Updated 2 weeks ago
- An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)☆9,191Mar 16, 2026Updated last week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,273Aug 28, 2025Updated 6 months ago
- A Quirky Assortment of CuTe Kernels☆863Updated this week
- Accelerated First Order Parallel Associative Scan☆196Jan 7, 2026Updated 2 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,484Updated this week
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆250Jun 6, 2025Updated 9 months ago
- ☆107Mar 9, 2024Updated 2 years ago
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆6,268Feb 27, 2026Updated 3 weeks ago
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆676Mar 16, 2026Updated last week
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆598Aug 12, 2025Updated 7 months ago
- ☆125Feb 4, 2026Updated last month