lucidrains / native-sparse-attention-pytorch
Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper
☆607Updated last month
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
- 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"☆647Updated last month
- Muon optimizer: +>30% sample efficiency with <3% wallclock overhead☆611Updated last month
- Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793☆409Updated 3 weeks ago
- [ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters☆555Updated 2 months ago
- The official implementation of Tensor ProducT ATTenTion Transformer (T6)☆367Updated 3 weeks ago
- Helpful tools and examples for working with flex-attention☆757Updated this week
- 🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton☆2,357Updated this week
- ☆280Updated 2 weeks ago
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI☆281Updated last month
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆511Updated 6 months ago
- Muon is Scalable for LLM Training☆1,039Updated last month
- Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States☆409Updated 8 months ago
- Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models☆569Updated 3 weeks ago
- TransMLA: Multi-Head Latent Attention Is All You Need☆243Updated this week
- Ring attention implementation with flash attention☆759Updated last month
- Efficient LLM Inference over Long Sequences☆372Updated last week
- Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI☆1,087Updated last month
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆284Updated 2 months ago
- ☆436Updated 2 weeks ago
- [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation☆775Updated 7 months ago
- Simple and Effective Masked Diffusion Language Model☆376Updated 3 weeks ago
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models☆215Updated this week
- [ICLR 2025] Official PyTorch Implementation of Gated Delta Networks: Improving Mamba2 with Delta Rule☆160Updated last month
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch☆671Updated 5 months ago
- A collection of tricks and tools to speed up transformer models☆157Updated last month
- Dream 7B, a large diffusion language model☆613Updated this week
- Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States☆1,182Updated 9 months ago
- When it comes to optimizers, it's always better to be safe than sorry☆222Updated last month
- Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch☆1,310Updated 3 weeks ago
- Implementation of Autoregressive Diffusion in Pytorch☆376Updated 6 months ago