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"
  ☆22Updated last year
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆51Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆92Updated 11 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆69Updated 7 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆105Updated 2 years ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated last year
• tanganke / subspace_fusion
  Code for paper "Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion"
  ☆13Updated last year
• tanganke / opcm
  official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"
  ☆20Updated 2 weeks ago
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆28Updated last year
• Model-GLUE / Model-GLUE
  ☆18Updated last year
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆30Updated last month
• SempraETY / Pruning-via-Merging
  ☆20Updated 11 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆91Updated last year
• AntoAndGar / task_singular_vectors
  Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.
  ☆33Updated 2 months ago
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆35Updated 11 months ago
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆29Updated last year
• mmatena / model_merging
  ☆77Updated 3 years ago
• lliai / Awesome-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆116Updated last year
• jongwooko / distillm-2
  Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)
  ☆44Updated 3 months ago
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆131Updated 3 months ago
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆33Updated last year
• avalonstrel / Mitigating-the-Alignment-Tax-of-RLHF
  ☆15Updated last year
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆35Updated last year
• VITA-Group / SEAL
  Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆44Updated 6 months ago
• r-three / mats
  ☆31Updated last year
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆184Updated last year
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆44Updated last year
• MohammadrezaBanaei / LoRA-XS
  LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
  ☆42Updated 2 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆60Updated last year
• adymaharana / d2pruning
  ☆41Updated 2 years ago