Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
☆24Sep 13, 2024Updated last year
Alternatives and similar repositories for peta
Users that are interested in peta are comparing it to the libraries listed below
Sorting:
- Code for paper "Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion"☆14Mar 28, 2024Updated last year
- ☆12Jul 30, 2025Updated 7 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆47Oct 10, 2024Updated last year
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆52Dec 22, 2025Updated 2 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆99Oct 28, 2024Updated last year
- ☆33Jul 8, 2024Updated last year
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆23Oct 11, 2025Updated 4 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆112Jun 8, 2023Updated 2 years ago
- Code for paper "Towards Efficient Pareto Set Approximation via Weight-Ensembling Mixture of Experts"☆11Sep 13, 2024Updated last year
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆14Mar 31, 2025Updated 11 months ago
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆31Jun 7, 2024Updated last year
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆29May 15, 2024Updated last year
- Code for Tangent Model Composition for Ensembling and Continual Fine-tuning (ICCV 2023) and Tangent Transformers for Composition, Privacy…☆13May 14, 2024Updated last year
- source code of (quasi-)Givens Orthogonal Fine Tuning integrated to peft lib☆17Mar 13, 2025Updated 11 months ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Oct 25, 2019Updated 6 years ago
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆205Updated this week
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆16Apr 18, 2025Updated 10 months ago
- Exploring Model Kinship for Merging Large Language Models☆27Apr 16, 2025Updated 10 months ago
- Code for the paper "Function-Space Learning Rates"☆25Jun 3, 2025Updated 9 months ago
- PyTorch implementation of LARS (Layer-wise Adaptive Rate Scaling)☆19May 11, 2019Updated 6 years ago
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.☆680Updated this week
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆26Oct 4, 2024Updated last year
- Editing Models with Task Arithmetic☆535Jan 11, 2024Updated 2 years ago
- Code for the paper "Spectral Editing of Activations for Large Language Model Alignments"☆29Dec 20, 2024Updated last year
- ☆23May 12, 2021Updated 4 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Nov 21, 2018Updated 7 years ago
- The official repository of "Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors""☆49Oct 1, 2025Updated 5 months ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆33May 9, 2024Updated last year
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆33Mar 5, 2024Updated 2 years ago
- ☆210Feb 3, 2024Updated 2 years ago
- Simple Scalable Discrete Diffusion for text in PyTorch☆37Sep 27, 2024Updated last year
- [ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries☆31May 29, 2024Updated last year
- ☆80Mar 17, 2022Updated 3 years ago
- Code for BlockSwap (ICLR 2020).☆33Mar 25, 2021Updated 4 years ago
- ☆33Jan 7, 2025Updated last year
- Code for reproducing work of ICML 2019 paper: Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Appli…☆12Jun 8, 2019Updated 6 years ago
- Code for Paper "PMAES: Prompt-mapping Contrastive Learning for Cross-prompt Automated Essay Scoring" ACL2023☆11Oct 6, 2023Updated 2 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆37Jun 22, 2024Updated last year
- Codes for Merging Large Language Models☆35Aug 7, 2024Updated last year