AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
☆114Oct 28, 2024Updated last year
Alternatives and similar repositories for AdaMerging
Users that are interested in AdaMerging are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆49Oct 10, 2024Updated last year
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆237Updated this week
- ☆219Feb 3, 2024Updated 2 years ago
- Code for paper "Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion"☆14Mar 28, 2024Updated 2 years ago
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.☆771Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆53Dec 22, 2025Updated 7 months ago
- Code for paper "Towards Efficient Pareto Set Approximation via Weight-Ensembling Mixture of Experts"☆11Jul 30, 2026Updated last week
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆32Feb 18, 2026Updated 5 months ago
- Editing Models with Task Arithmetic☆550Jan 11, 2024Updated 2 years ago
- ☆33Jul 8, 2024Updated 2 years ago
- Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.☆57Dec 15, 2025Updated 7 months ago
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆32Jun 7, 2024Updated 2 years ago
- MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation☆18Sep 2, 2024Updated last year
- [NeurIPS2024] Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging☆142Mar 17, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆81Mar 17, 2022Updated 4 years ago
- The official implementation of Hard Negative Sampling via Large Language Models for Recommendation.☆11Jan 17, 2026Updated 6 months ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆31May 15, 2024Updated 2 years ago
- Codebase for Merging Language Models (ICML 2024)☆872May 5, 2024Updated 2 years ago
- Codes for Merging Large Language Models☆37Aug 7, 2024Updated 2 years ago
- DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling☆37Jul 12, 2024Updated 2 years ago
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆92Jul 25, 2023Updated 3 years ago
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆25Oct 11, 2025Updated 9 months ago
- [NeurIPS 2024] For paper Parameter Competition Balancing for Model Merging☆48Oct 11, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Model merging is a highly efficient approach for long-to-short reasoning.☆103Oct 15, 2025Updated 9 months ago
- A curated list of Model Merging methods.☆95Dec 3, 2025Updated 8 months ago
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆31Nov 4, 2024Updated last year
- AlignX-Family is an open-source research suite for advancing personalization in large language models-spanning data, code, models, and be…☆20Jan 12, 2026Updated 6 months ago
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆30Sep 29, 2023Updated 2 years ago
- Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. Arxiv, 2024.☆16Oct 28, 2024Updated last year
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Nov 26, 2023Updated 2 years ago
- [CVPR '24] Official implementation of the paper "Multiflow: Shifting Towards Task-Agnostic Vision-Language Pruning".☆24Mar 7, 2025Updated last year
- LLM-Merging: Building LLMs Efficiently through Merging☆208Sep 24, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆34Mar 5, 2024Updated 2 years ago
- ☆16Feb 8, 2024Updated 2 years ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆112Jun 8, 2023Updated 3 years ago
- ☆13Feb 11, 2026Updated 5 months ago
- [ICML 2024] Code release for "On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm"☆11Feb 20, 2025Updated last year
- ☆19May 10, 2024Updated 2 years ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆24Jun 26, 2024Updated 2 years ago