OpenNLPLab / LASPLinks
Linear Attention Sequence Parallelism (LASP)
☆88Updated last year
Alternatives and similar repositories for LASP
Users that are interested in LASP are comparing it to the libraries listed below
Sorting:
- ☆60Updated 6 months ago
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts☆40Updated last year
- ☆59Updated 2 years ago
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆49Updated 2 years ago
- ☆132Updated 6 months ago
- DPO, but faster 🚀☆46Updated last year
- ☆32Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆104Updated last year
- Xmixers: A collection of SOTA efficient token/channel mixers☆29Updated 3 months ago
- ☆53Updated last year
- Here we will test various linear attention designs.☆62Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆106Updated 2 months ago
- Fast and memory-efficient exact attention☆74Updated 9 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- Odysseus: Playground of LLM Sequence Parallelism☆78Updated last year
- Cascade Speculative Drafting☆32Updated last year
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆51Updated 5 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆91Updated 5 months ago
- ☆57Updated last year
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆73Updated last year
- Easy control for Key-Value Constrained Generative LLM Inference(https://arxiv.org/abs/2402.06262)☆63Updated last year
- Low-bit optimizers for PyTorch☆134Updated 2 years ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆58Updated 2 weeks ago
- Kinetics: Rethinking Test-Time Scaling Laws☆84Updated 5 months ago