Alternatives and similar repositories for linear_task_arithmetic

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

• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆25Updated last year
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆52Updated last month
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆76Updated 11 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆110Updated 2 years ago
• SempraETY / Pruning-via-Merging
  ☆23Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆99Updated last year
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆32Updated 4 months ago
• tanganke / subspace_fusion
  Code for paper "Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion"
  ☆14Updated last year
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆47Updated last year
• tanganke / opcm
  official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"
  ☆22Updated 3 months ago
• Model-GLUE / Model-GLUE
  ☆18Updated last year
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆30Updated last year
• Trustworthy-ML-Lab / ThinkEdit
  [EMNLP 25] An effective and interpretable weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study un…
  ☆16Updated last month
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆46Updated last year
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆29Updated last year
• VITA-Group / SEAL
  [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆51Updated 10 months ago
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆154Updated 7 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆46Updated last year
• zyxxmu / DSnoT
  Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…
  ☆50Updated last year
• czg1225 / dParallel
  [ICLR 2026] dParallel: Learnable Parallel Decoding for dLLMs
  ☆58Updated last week
• avalonstrel / Mitigating-the-Alignment-Tax-of-RLHF
  ☆16Updated 2 years ago
• mmatena / model_merging
  ☆80Updated 3 years ago
• Yuheng2000 / Awesome-LoRA
  Awesome Low-Rank Adaptation
  ☆59Updated 6 months ago
• aim-uofa / LoRAPrune
  ☆63Updated last year
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆39Updated last year
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆17Updated 11 months ago
• IBM / SafeLoRA
  Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"
  ☆25Updated last month
• haiquanlu / AlphaPruning
  [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
  ☆31Updated 7 months ago
• huanranchen / LLMLandscape
  The loss landscape of Large Language Models resemble basin!
  ☆36Updated 7 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆96Updated 2 months ago