howard-hou / RWKV-XLinks
RWKV-X is a Linear Complexity Hybrid Language Model based on the RWKV architecture, integrating Sparse Attention to improve the model's long sequence processing capabilities.
☆39Updated last month
Alternatives and similar repositories for RWKV-X
Users that are interested in RWKV-X are comparing it to the libraries listed below
Sorting:
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆32Updated 10 months ago
- https://x.com/BlinkDL_AI/status/1884768989743882276☆28Updated last month
- Here we will test various linear attention designs.☆59Updated last year
- A large-scale RWKV v6, v7(World, PRWKV, Hybrid-RWKV) inference. Capable of inference by combining multiple states(Pseudo MoE). Easy to de…☆38Updated 3 weeks ago
- ☆36Updated last month
- ☆22Updated this week
- ☆36Updated 2 months ago
- ☆79Updated 10 months ago
- DPO, but faster 🚀☆43Updated 6 months ago
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated 10 months ago
- Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton☆33Updated this week
- Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)☆33Updated 3 months ago
- GoldFinch and other hybrid transformer components☆45Updated 11 months ago
- Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…☆15Updated 3 months ago
- A repository for research on medium sized language models.☆76Updated last year
- Combining SOAP and MUON☆16Updated 4 months ago
- This repo is based on https://github.com/jiaweizzhao/GaLore☆28Updated 9 months ago
- ☆56Updated 3 months ago
- Official Code Repository for the paper "Key-value memory in the brain"☆26Updated 4 months ago
- RWKV, in easy to read code☆72Updated 2 months ago
- MiSS is a novel PEFT method that features a low-rank structure but introduces a new update mechanism distinct from LoRA, achieving an exc…☆19Updated this week
- ☆55Updated 11 months ago
- Using FlexAttention to compute attention with different masking patterns☆44Updated 9 months ago
- continous batching and parallel acceleration for RWKV6☆24Updated 11 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- RWKV-7: Surpassing GPT☆91Updated 7 months ago
- The WorldRWKV project aims to implement training and inference across various modalities using the RWKV7 architecture. By leveraging diff…☆50Updated last month
- RADLADS training code☆24Updated last month
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆47Updated 2 months ago