Alternatives and similar repositories for SwitchTransformers

Users that are interested in SwitchTransformers are comparing it to the libraries listed below

• nanowell / Differential-Transformer-PyTorch
  PyTorch implementation of the Differential-Transformer architecture for sequence modeling, specifically tailored as a decoder-only model …
  ☆70Updated 7 months ago
• Chaos96 / fourierft
  ☆147Updated 9 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆65Updated last year
• fkodom / grouped-query-attention-pytorch
  (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …
  ☆170Updated last year
• transformer-vq / transformer_vq
  ☆191Updated last year
• dhcode-cpp / NSA-pytorch
  DeepSeek Native Sparse Attention pytorch implementation
  ☆71Updated 3 months ago
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆95Updated 2 weeks ago
• kyegomez / MoE-Mamba
  Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Ze…
  ☆107Updated 2 months ago
• zugexiaodui / torch_flops
  A library for calculating the FLOPs in the forward() process based on torch.fx
  ☆115Updated 2 months ago
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆109Updated 4 months ago
• MzeroMiko / mamba-mini
  An efficient pytorch implementation of selective scan in one file, works with both cpu and gpu, with corresponding mathematical derivatio…
  ☆91Updated last year
• withinmiaov / A-Survey-on-Mixture-of-Experts-in-LLMs
  The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".
  ☆372Updated this week
• xuyang-liu16 / Awesome-Token-level-Model-Compression
  📚 Collection of token-level model compression resources.
  ☆122Updated last week
• BICLab / MetaLA
  Offical implementation of "MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map" (NeurIPS2024 Oral)
  ☆25Updated 5 months ago
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆87Updated last year
• Hprairie / Bi-Mamba2
  A Triton Kernel for incorporating Bi-Directionality in Mamba2
  ☆70Updated 6 months ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆61Updated 2 months ago
• DavidFanzz / SCMoE
  ☆26Updated last year
• Adamdad / rational_kat_cu
  ☆63Updated 4 months ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆210Updated 6 months ago
• wutaiqiang / MoSLoRA
  ☆105Updated 11 months ago
• lhallee / Multi_Head_Mixture_of_Experts__MH-MOE
  ☆28Updated 8 months ago
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆52Updated 3 months ago
• pengzhangzhi / Awesome-Mamba
  Awesome list of papers that extend Mamba to various applications.
  ☆133Updated 2 weeks ago
• TsinghuaC3I / Fourier-Position-Embedding
  [ICML 2025] Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization
  ☆71Updated 3 weeks ago
• kyegomez / Griffin
  Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
  ☆55Updated 2 months ago
• fxmeng / TransMLA
  TransMLA: Multi-Head Latent Attention Is All You Need
  ☆310Updated this week
• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆57Updated last year
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆38Updated 8 months ago
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆142Updated 4 months ago