OpenNLPLab / TransnormerLinks
[EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer
☆63Updated 2 years ago
Alternatives and similar repositories for Transnormer
Users that are interested in Transnormer are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Official implementation of Transnormer in our ICLR 2023 paper - Toeplitz Neural Network for Sequence Modeling☆80Updated last year
- ☆105Updated last year
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆102Updated last year
- [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling☆86Updated 2 years ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆55Updated 2 years ago
- Code for paper "Patch-Level Training for Large Language Models"☆88Updated 10 months ago
- ☆56Updated last year
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆120Updated last year
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆66Updated last year
- A repository for DenseSSMs☆88Updated last year
- ☆197Updated last year
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆123Updated 8 months ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆32Updated 2 years ago
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"☆83Updated last year
- Linear Attention Sequence Parallelism (LASP)☆87Updated last year
- The accompanying code for "Memory-efficient Transformers via Top-k Attention" (Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonatha…☆70Updated 4 years ago
- ☆18Updated 2 years ago
- Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719☆22Updated last year
- Sparse Backpropagation for Mixture-of-Expert Training☆30Updated last year
- [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning☆132Updated last week
- Here we will test various linear attention designs.☆62Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated last year
- ☆14Updated 2 years ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- The official implementation of HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization☆17Updated 7 months ago
- [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang☆14Updated last year
- Official implementation of TransNormerLLM: A Faster and Better LLM☆247Updated last year
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆49Updated 2 years ago
- ☆49Updated last year
- Mixture of Attention Heads☆49Updated 2 years ago