BBuf / flash-rwkvLinks
☆32Updated last year
Alternatives and similar repositories for flash-rwkv
Users that are interested in flash-rwkv are comparing it to the libraries listed below
Sorting:
- Xmixers: A collection of SOTA efficient token/channel mixers☆28Updated 3 months ago
- Here we will test various linear attention designs.☆62Updated last year
- Awesome Triton Resources☆39Updated 8 months ago
- ☆22Updated 2 years ago
- Odysseus: Playground of LLM Sequence Parallelism☆78Updated last year
- continous batching and parallel acceleration for RWKV6☆22Updated last year
- Linear Attention Sequence Parallelism (LASP)☆88Updated last year
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆49Updated 2 years ago
- Triton implement of bi-directional (non-causal) linear attention☆59Updated 10 months ago
- ☆106Updated last year
- FlexAttention w/ FlashAttention3 Support☆27Updated last year
- DPO, but faster 🚀☆46Updated last year
- ☆133Updated 7 months ago
- ☆59Updated 2 years ago
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆104Updated last year
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆73Updated last year
- ☆27Updated 5 months ago
- ☆51Updated last year
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆223Updated 6 months ago
- Low-bit optimizers for PyTorch☆137Updated 2 years ago
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆51Updated 5 months ago
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).☆25Updated 5 months ago
- flex-block-attn: an efficient block sparse attention computation library☆99Updated this week
- Flash-Linear-Attention models beyond language☆20Updated 4 months ago
- APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…☆27Updated last week
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆121Updated last year
- Quantized Attention on GPU☆44Updated last year
- ☆57Updated last year
- Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719☆22Updated last year