RWKV / RWKV-LMLinks
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
☆52Updated 5 months ago
Alternatives and similar repositories for RWKV-LM
Users that are interested in RWKV-LM are comparing it to the libraries listed below
Sorting:
- ☆85Updated last year
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆161Updated 5 months ago
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆48Updated 4 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆98Updated 11 months ago
- A repository for research on medium sized language models.☆77Updated last year
- RWKV-X is a Linear Complexity Hybrid Language Model based on the RWKV architecture, integrating Sparse Attention to improve the model's l…☆47Updated last month
- Work in progress.☆72Updated 2 months ago
- [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning☆125Updated last month
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models☆229Updated 4 months ago
- https://x.com/BlinkDL_AI/status/1884768989743882276☆28Updated 4 months ago
- ☆63Updated 5 months ago
- DPO, but faster 🚀☆44Updated 9 months ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆33Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆128Updated 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
- RWKV-7: Surpassing GPT☆95Updated 9 months ago
- The evaluation framework for training-free sparse attention in LLMs☆91Updated 2 months ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆105Updated this week
- Official repository for the paper "NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks". This rep…☆59Updated 10 months ago
- The official github repo for "Diffusion Language Models are Super Data Learners".☆109Updated last month
- Here we will test various linear attention designs.☆62Updated last year
- Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)☆35Updated 6 months ago
- This is a simple torch implementation of the high performance Multi-Query Attention☆16Updated 2 years ago
- ☆35Updated 6 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆129Updated 9 months ago
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆68Updated last month
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 6 months ago
- Triton implement of bi-directional (non-causal) linear attention☆54Updated 7 months ago
- [ICLR 2025] Official PyTorch Implementation of Gated Delta Networks: Improving Mamba2 with Delta Rule☆228Updated 5 months ago
- ☆69Updated last year