Alternatives and similar repositories for merging-text-transformers

Users that are interested in merging-text-transformers 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…
  ☆56Updated 2 years ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆33Updated 2 years ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆52Updated 10 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆64Updated 5 months ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆58Updated 11 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆44Updated last year
• uiuctml / MergeBench
  [NeurIPS 2025] MergeBench: A Benchmark for Merging Domain-Specialized LLMs
  ☆40Updated last month
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆92Updated 2 years ago
• r-three / smear
  ☆30Updated 2 years ago
• adymaharana / d2pruning
  ☆43Updated 2 years ago
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆91Updated last year
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆33Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆35Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆19Updated 2 years ago
• FeiyuZhang98 / IncreLoRA
  ☆34Updated 2 years ago
• MadryLab / DsDm
  ☆51Updated 2 years ago
• socialfoundations / tttlm
  Test-time-training on nearest neighbors for large language models
  ☆49Updated last year
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆24Updated last year
• prateeky2806 / ties-merging
  ☆206Updated last year
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆195Updated last year
• kaistAI / factual-knowledge-acquisition
  ☆24Updated last month
• THU-KEG / Skill-Neuron
  Source code for EMNLP2022 paper "Finding Skill Neurons in Pre-trained Transformers via Prompt Tuning".
  ☆18Updated 2 years ago
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆31Updated last year
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆101Updated last year
• alinlab / HOMER
  Official implementation of Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs (ICLR 2024).
  ☆43Updated last year
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆39Updated last year
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆36Updated 11 months ago
• tianyi-lab / Mosaic-IT
  [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  ☆20Updated 4 months ago
• shankarp8 / knowledge_distillation
  Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).
  ☆26Updated last year