Aleph-Alpha-Research / NeurIPS-WANT-submission-efficient-parallelization-layoutsLinks
☆22Updated last year
Alternatives and similar repositories for NeurIPS-WANT-submission-efficient-parallelization-layouts
Users that are interested in NeurIPS-WANT-submission-efficient-parallelization-layouts are comparing it to the libraries listed below
Sorting:
- Awesome Triton Resources☆32Updated 3 months ago
- Transformers components but in Triton☆34Updated 2 months ago
- ☆49Updated last year
- Odysseus: Playground of LLM Sequence Parallelism☆72Updated last year
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆119Updated last year
- ☆32Updated last year
- Sequence-level 1F1B schedule for LLMs.☆17Updated last year
- continous batching and parallel acceleration for RWKV6☆24Updated last year
- ☆14Updated 2 years ago
- ☆147Updated 2 years ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago
- ☆123Updated 2 months ago
- ☆39Updated last year
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆46Updated 2 months ago
- Linear Attention Sequence Parallelism (LASP)☆85Updated last year
- Low-bit optimizers for PyTorch☆130Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…☆24Updated last month
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆109Updated 4 months ago
- Flash-Linear-Attention models beyond language☆16Updated 2 weeks ago
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- ☆106Updated last year
- GPU operators for sparse tensor operations☆33Updated last year
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆71Updated last year
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆61Updated 10 months ago
- ☆55Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆107Updated 2 months ago
- ☆137Updated 5 months ago
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆152Updated last month
- Fast and memory-efficient exact attention☆69Updated 5 months ago