Alternatives and similar repositories for Look-into-MoEs

Users that are interested in Look-into-MoEs are comparing it to the libraries listed below

• 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…
  ☆55Updated 2 years ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆60Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 7 months ago
• locuslab / scaling_laws_data_filtering
  ☆65Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆35Updated last year
• Infini-AI-Lab / S2FT
  ☆19Updated 9 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆60Updated last month
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆100Updated 2 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆38Updated last year
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆23Updated last year
• open-compass / GPassK
  [ACL 2025] Are Your LLMs Capable of Stable Reasoning?
  ☆30Updated last month
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆35Updated last year
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆86Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 5 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 7 months ago
• UCSB-NLP-Chang / ThinkPrune
  ☆43Updated this week
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆40Updated 7 months ago
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆39Updated last year
• SalesforceAIResearch / GemFilter
  ☆86Updated 8 months ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆62Updated 9 months ago
• hkust-nlp / PreSelect
  [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches
  ☆55Updated 7 months ago
• qiuzh20 / gated_attention
  The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink…
  ☆81Updated 2 weeks ago
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆108Updated 7 months ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• princeton-pli / MeCo
  Code for ICML 25 paper "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"
  ☆42Updated 3 months ago
• mathllm / MathCoder2
  ☆69Updated 11 months ago
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆34Updated last month
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆119Updated last year
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆69Updated 2 years ago
• Infini-AI-Lab / gsm_infinite
  ☆54Updated 3 months ago