fla-org / fla-zooLinks
Flash-Linear-Attention models beyond language
☆16Updated last month
Alternatives and similar repositories for fla-zoo
Users that are interested in fla-zoo are comparing it to the libraries listed below
Sorting:
- Open-sourcing code associated with the AAAI-25 paper "On the Expressiveness and Length Generalization of Selective State-Space Models on …☆14Updated 3 months ago
- Stick-breaking attention☆59Updated last month
- ☆47Updated 2 months ago
- ☆55Updated last month
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆113Updated 2 months ago
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆46Updated 3 months ago
- continous batching and parallel acceleration for RWKV6☆24Updated last year
- M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models☆37Updated last month
- Awesome Triton Resources☆33Updated 4 months ago
- Triton implement of bi-directional (non-causal) linear attention☆51Updated 6 months ago
- Here we will test various linear attention designs.☆62Updated last year
- ☆80Updated 6 months ago
- ☆98Updated 4 months ago
- ☆18Updated 8 months ago
- Xmixers: A collection of SOTA efficient token/channel mixers☆11Updated last month
- Fast and memory-efficient exact attention☆70Updated 5 months ago
- Kinetics: Rethinking Test-Time Scaling Laws☆76Updated last month
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆92Updated 9 months ago
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆39Updated 10 months ago
- [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning☆124Updated last week
- Transformers components but in Triton☆34Updated 3 months ago
- ☆10Updated 11 months ago
- RWKV-X is a Linear Complexity Hybrid Language Model based on the RWKV architecture, integrating Sparse Attention to improve the model's l…☆46Updated last month
- ☆123Updated 2 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆51Updated 9 months ago
- ☆21Updated 5 months ago
- ☆32Updated last year
- ☆33Updated last year
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆33Updated last year
- [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang☆14Updated last year