kyegomez / MHMoELinks
Community Implementation of the paper: "Multi-Head Mixture-of-Experts" In PyTorch
☆26Updated this 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…☆112Updated this week
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆207Updated last week
- A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM☆59Updated last year
- Implementation of a modular, high-performance, and simplistic mamba for high-speed applications☆36Updated 11 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated last year
- https://x.com/BlinkDL_AI/status/1884768989743882276☆28Updated 5 months ago
- Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch☆94Updated 8 months ago
- Implementation of Agent Attention in Pytorch☆91Updated last year
- Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"☆25Updated 2 weeks ago
- An open source replication of the stawberry method that leverages Monte Carlo Search with PPO and or DPO☆29Updated this week
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆72Updated this week
- Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…☆47Updated last month
- PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"☆192Updated 3 weeks ago
- RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best…☆53Updated 7 months ago
- Implementation of MambaFormer in Pytorch ++ Zeta from the paper: "Can Mamba Learn How to Learn? A Comparative Study on In-Context Learnin…☆20Updated this week
- Implementation of MambaByte in "MambaByte: Token-free Selective State Space Model" in Pytorch and Zeta☆123Updated 3 weeks ago
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆99Updated last year
- Explorations into improving ViTArc with Slot Attention☆43Updated last year
- A repository for DenseSSMs☆89Updated last year
- OmniByteFormer is a generalized Transformer model that can process any type of data by converting it into byte sequences, bypassing tradi…☆13Updated last week
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆56Updated this week
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆108Updated this week
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆91Updated 4 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- RWKV-7: Surpassing GPT☆98Updated 11 months ago
- This is a simple torch implementation of the high performance Multi-Query Attention☆15Updated 2 years ago
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆162Updated 6 months ago