lucidrains / native-sparse-attention-pytorchLinks
Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper
☆725Updated last week
Alternatives and similar repositories for native-sparse-attention-pytorch
Users that are interested in native-sparse-attention-pytorch are comparing it to the libraries listed below
Sorting:
- 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"☆822Updated 5 months ago
- [ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters☆569Updated 6 months ago
- Muon is an optimizer for hidden layers in neural networks☆1,547Updated last month
- The official implementation of TPA: Tensor ProducT ATTenTion Transformer (T6) (https://arxiv.org/abs/2501.06425)☆381Updated last week
- H-Net: Hierarchical Network with Dynamic Chunking☆657Updated 3 weeks ago
- Helpful tools and examples for working with flex-attention☆938Updated last week
- Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models☆782Updated last month
- Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States☆421Updated last year
- TransMLA: Multi-Head Latent Attention Is All You Need☆339Updated last month
- Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793☆433Updated 3 months ago
- ☆514Updated 3 weeks ago
- Muon is Scalable for LLM Training☆1,281Updated 2 weeks ago
- ☆293Updated 4 months ago
- Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation☆405Updated 2 weeks ago
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI☆289Updated 2 months ago
- When it comes to optimizers, it's always better to be safe than sorry☆359Updated last week
- Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States☆1,241Updated last year
- [ICLR 2025] Official PyTorch Implementation of Gated Delta Networks: Improving Mamba2 with Delta Rule☆194Updated 5 months ago
- Dream 7B, a large diffusion language model☆915Updated this week
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆536Updated 3 months ago
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆324Updated 6 months ago
- [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation☆831Updated 10 months ago
- 🚀 Efficient implementations of state-of-the-art linear attention models☆3,045Updated this week
- Efficient triton implementation of Native Sparse Attention.☆208Updated 3 months ago
- 🔥 A minimal training framework for scaling FLA models☆228Updated this week
- ☆237Updated 2 months ago
- Efficient LLM Inference over Long Sequences☆389Updated last month
- Official Implementation for the paper "d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning"☆282Updated last month
- Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"☆374Updated this week
- Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI☆1,193Updated 2 months ago