EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

794 stars50 forks

attack-defense continual-learning diffusion-models ensemble-learning federated-learning few-shot-learning foundation-models generalization generative-model knowledge-fusion large-language-models llms meta-learning model-fusion model-merging multi-domain-learning multi-task-learning robustness transfer-learning

Momentum

EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications has 794 GitHub stars.

It currently ranks #31867 daily, #32233 weekly, #33745 monthly by momentum on Trending Repos; its best-ever rank is #10807.

Trending Repos first recorded it on May 18, 2026.

Rankings

PeriodRankScore

Daily

#318670.0

Weekly

#322330.0

Monthly

#337450.0

How scoring works

Engagement

Total stars

Daily new stars

Embeds

Best rank #10807

Format

Markdown

[![EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications badge](https://trending-repos.com/badge/EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications.svg?v=3)](https://trending-repos.com/repositories/EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications?utm_source=github&utm_medium=badge)

EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications

Momentum

Rankings

Engagement

Similar trending repositories

Embeds

EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications

Momentum

Rankings

Engagement

Similar trending repositories

Embeds