model-merging

Tools for merging pretrained large language models.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion

Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)

AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

Representation Surgery for Multi-Task Model Merging. ICML, 2024.

Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

All-in-one UI for merged LLMs in Hugging Face

[ECCV'24] MaxFusion: Plug & Play multimodal generation in text to image diffusion models

Exploring Model Kinship for Merging Large Language Models

Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

[ECCV 2024] MagMax: Leveraging Model Merging for Seamless Continual Learning (official repository)

[ICLR 2025] CAMEx: Curvature-Aware Merging of Experts

flow-merge is a powerful Python library that enables seamless merging of multiple transformer-based language models using the most popular merge methods such as model soups, SLERP, ties-MERGING or DARE.

Flexible library for merging large language models (LLMs) via evolutionary optimization.

Official PyTorch implementation of LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation.

A model merging project for generalizing Featured Finite State Machines (FFSMs) to unify behaviors across Software Product Lines (SPLs)

Merge transformers without using like a bajillion GB of RAM