FusionBench: A Comprehensive Benchmark of Deep Model Fusion
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Updated
Sep 29, 2024 - Python
FusionBench: A Comprehensive Benchmark of Deep Model Fusion
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
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.
Tools for merging pretrained large language models.
Mergecraft is a simple library to streamline model merging operations, with seamless integration with HuggingFace🤗
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
Representation Surgery for Multi-Task Model Merging. ICML, 2024.
[ECCV 2024] MagMax: Leveraging Model Merging for Seamless Continual Learning (official repository)
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
An easy-to-use Python library for merging PyTorch models.
All-in-one UI for merged LLMs in Hugging Face
Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
Advanced Transfer Learning project with the purpose of obtaining the best model by mixing three twice-fine-tuned models.
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
Merge transformers without using like a bajillion GB of RAM
Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
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