Alternatives and similar repositories for MoE-LPR:

Users that are interested in MoE-LPR are comparing it to the libraries listed below

• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆81Updated 4 months ago
• OpenSparseLLMs / Open-Pandora
  Open-Pandora: On-the-fly Control Video Generation
  ☆32Updated 4 months ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆46Updated last month
• OpenSparseLLMs / MoM
  ☆73Updated last week
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆22Updated 9 months ago
• RainBowLuoCS / OpenOmni
  OpenOmni: Official implementation of Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Rea…
  ☆40Updated 2 weeks ago
• DRSY / KV_Compression
  [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens
  ☆24Updated last year
• OpenSparseLLMs / Linearization
  ☆37Updated last week
• princeton-pli / MeCo
  Code for preprint "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"
  ☆36Updated last week
• Infini-AI-Lab / S2FT
  ☆16Updated 2 months ago
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆64Updated 11 months ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆48Updated 2 years ago
• BBuf / flash-rwkv
  ☆30Updated 10 months ago
• frankxwang / dpo-prefix-sharing
  DPO, but faster 🚀
  ☆40Updated 3 months ago
• yegcjs / mixinglaws
  ☆98Updated 6 months ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆57Updated 3 months ago
• bojone / FSQ
  Keras implement of Finite Scalar Quantization
  ☆71Updated last year
• YuchuanTian / DiJiang
  [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…
  ☆99Updated 9 months ago
• yyDing1 / ScaleQuest
  We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆60Updated 5 months ago
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆34Updated 4 months ago
• BestAnHongjun / SentenceVAE
  Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context
  ☆28Updated 7 months ago
• MikaStars39 / StableMask
  PyTorch implementation of StableMask (ICML'24)
  ☆12Updated 9 months ago
• hemingkx / TokenSkip
  TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  ☆103Updated 2 weeks ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆80Updated 6 months ago
• JL-er / DiSHA
  ☆12Updated 3 months ago
• DRSY / EMO
  [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
  ☆119Updated last year
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆36Updated 11 months ago
• OpenSparseLLMs / Linear-MoE
  ☆72Updated last week
• tencent-ailab / TriNet
  TriNet: stabilizing self-supervised learning from complete or slow collapse on ASR.
  ☆26Updated last year
• shoaibahmed / llm_depth_pruning
  Official implementation of the paper: "A deeper look at depth pruning of LLMs"
  ☆14Updated 8 months ago