Alternatives and similar repositories for flash-rwkv:

Users that are interested in flash-rwkv are comparing it to the libraries listed below

• 00ffcc / chunkRWKV6
  continous batching and parallel acceleration for RWKV6
  ☆24Updated 9 months ago
• Aleph-Alpha / NeurIPS-WANT-submission-efficient-parallelization-layouts
  ☆22Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆60Updated 11 months ago
• rayleizhu / vllm-ra
  [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts
  ☆39Updated last year
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆68Updated 10 months ago
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆81Updated 10 months ago
• dame-cell / Triformer
  Transformers components but in Triton
  ☆32Updated last month
• fla-org / flash-bidirectional-linear-attention
  Triton implement of bi-directional (non-causal) linear attention
  ☆46Updated 2 months ago
• kyegomez / Blockwise-Parallel-Transformer
  32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.
  ☆47Updated last year
• sustcsonglin / fla-tilelang
  ☆19Updated last month
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆45Updated 4 months ago
• thunlp / SparsingLaw
  The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".
  ☆20Updated 5 months ago
• yuzhenmao / IceFormer
  Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).
  ☆23Updated 10 months ago
• HazyResearch / prefix-linear-attention
  ☆53Updated 9 months ago
• zhixuan-lin / forgetting-transformer
  [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"
  ☆91Updated last week
• mobiusml / low-rank-llama2
  Low-Rank Llama Custom Training
  ☆22Updated last year
• megvii-research / IntLLaMA
  IntLLaMA: A fast and light quantization solution for LLaMA
  ☆18Updated last year
• juvi21 / CoPE-cuda
  Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719
  ☆22Updated 10 months ago
• Doraemonzzz / Awesome-Triton-Resources
  Awesome Triton Resources
  ☆24Updated 2 weeks ago
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆30Updated 10 months ago
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆26Updated 6 months ago
• sustcsonglin / linear-attention-and-beyond-slides
  ☆69Updated last month
• frankxwang / dpo-prefix-sharing
  DPO, but faster 🚀
  ☆40Updated 4 months ago
• microsoft / AttentionEngine
  ☆58Updated this week
• ruikangliu / Quantized-Reasoning-Models
  Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆24Updated 2 weeks ago
• sail-sg / LongSpec
  LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification
  ☆45Updated last month
• ziplab / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆26Updated last year
• VITA-Group / Data-Efficient-Scaling
  [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang
  ☆14Updated last year
• fla-org / flame
  🔥 A minimal training framework for scaling FLA models
  ☆101Updated last week
• abdelfattah-lab / TokenButler
  ☆20Updated 2 weeks ago