fkodom / dilated-attention-pytorchLinks
(Unofficial) Implementation of dilated attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens" (https://arxiv.org/abs/2307.02486)
☆51Updated last year
Alternatives and similar repositories for dilated-attention-pytorch
Users that are interested in dilated-attention-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of Infini-Transformer in Pytorch☆111Updated 5 months ago
- A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (http…☆105Updated last year
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆213Updated 9 months ago
- My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other h…☆53Updated last year
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆230Updated 9 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆88Updated 11 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆97Updated 8 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated 7 months ago
- Griffin MQA + Hawk Linear RNN Hybrid☆86Updated last year
- Implementation of the Llama architecture with RLHF + Q-learning☆165Updated 4 months ago
- Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"☆137Updated 4 months ago
- Code repository for Black Mamba☆246Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆126Updated 9 months ago
- ☆69Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated 9 months ago
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆156Updated last month
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆234Updated 3 months ago
- Understand and test language model architectures on synthetic tasks.☆197Updated 3 months ago
- Some preliminary explorations of Mamba's context scaling.☆214Updated last year
- Implementation of Agent Attention in Pytorch☆90Updated 10 months ago
- A MAD laboratory to improve AI architecture designs 🧪☆116Updated 5 months ago
- ☆190Updated this week
- Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch☆408Updated 5 months ago
- Implementation of the dilated self attention as described in "LongNet: Scaling Transformers to 1,000,000,000 Tokens"☆13Updated last year
- PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"☆169Updated 2 months ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆106Updated 6 months ago
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆337Updated 11 months ago
- A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM☆54Updated last year
- Implementation of mamba with rust☆85Updated last year
- Implementation of MambaByte in "MambaByte: Token-free Selective State Space Model" in Pytorch and Zeta☆118Updated 2 months ago