berlino / gated_linear_attentionLinks
☆103Updated last year
Alternatives and similar repositories for gated_linear_attention
Users that are interested in gated_linear_attention are comparing it to the libraries listed below
Sorting:
- Low-bit optimizers for PyTorch☆128Updated last year
- ☆54Updated 10 months ago
- [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling☆85Updated 2 years ago
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆101Updated 11 months ago
- [EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer☆60Updated last year
- The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"☆44Updated 2 years ago
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆116Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆51Updated 2 years ago
- ☆83Updated last month
- [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"☆104Updated 2 weeks ago
- ☆46Updated last year
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆78Updated 2 weeks ago
- ☆144Updated 2 years ago
- Triton implement of bi-directional (non-causal) linear attention☆48Updated 4 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆97Updated 8 months ago
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"☆78Updated last year
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆64Updated last year
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆121Updated 4 months ago
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆48Updated last year
- Sparse Backpropagation for Mixture-of-Expert Training☆29Updated 11 months ago
- 🔥 A minimal training framework for scaling FLA models☆146Updated 3 weeks ago
- Stick-breaking attention☆56Updated 2 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆35Updated 11 months ago
- Code for paper "Patch-Level Training for Large Language Models"☆86Updated 6 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆38Updated 3 weeks ago
- Here we will test various linear attention designs.☆58Updated last year
- [KDD'22] Learned Token Pruning for Transformers☆97Updated 2 years ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆30Updated 11 months ago