kyegomez / MHMoELinks
Community Implementation of the paper: "Multi-Head Mixture-of-Experts" In PyTorch
☆29Updated last week
Alternatives and similar repositories for MHMoE
Users that are interested in MHMoE are comparing it to the libraries listed below
Sorting:
- Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Ze…☆120Updated last week
- Implementation of a modular, high-performance, and simplistic mamba for high-speed applications☆40Updated last year
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆213Updated last week
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆56Updated 3 months ago
- Implementation of Agent Attention in Pytorch☆93Updated last year
- A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (http…☆106Updated 2 years ago
- PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"☆206Updated 3 weeks ago
- A repository for DenseSSMs☆89Updated last year
- Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"☆25Updated last week
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆172Updated last week
- Griffin MQA + Hawk Linear RNN Hybrid☆88Updated last year
- Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch☆96Updated 11 months ago
- Implementation of MambaByte in "MambaByte: Token-free Selective State Space Model" in Pytorch and Zeta☆125Updated this week
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆135Updated 3 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- Code repository for Black Mamba☆261Updated 2 years ago
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…☆46Updated 5 months ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆114Updated last week
- PyTorch implementation of the Differential-Transformer architecture for sequence modeling, specifically tailored as a decoder-only model …☆86Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆123Updated last year
- an implementation of FAdam (Fisher Adam) in PyTorch☆50Updated 7 months ago
- A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM☆61Updated last year
- Implementation of MambaFormer in Pytorch ++ Zeta from the paper: "Can Mamba Learn How to Learn? A Comparative Study on In-Context Learnin…☆21Updated this week
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models☆236Updated 3 months ago
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆163Updated 9 months ago
- A Triton Kernel for incorporating Bi-Directionality in Mamba2☆78Updated last year
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆67Updated last year
- https://x.com/BlinkDL_AI/status/1884768989743882276☆28Updated 9 months ago
- Official PyTorch Implementation of "The Hidden Attention of Mamba Models"☆231Updated 3 months ago