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

<https://repo.masters-masters.com/en/repos/EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications>

[Home](https://repo.masters-masters.com/en) › [EnnengYang](https://repo.masters-masters.com/en/owners/EnnengYang) › [Awesome-Model-Merging-Methods-Theories-Applications](https://repo.masters-masters.com/en/repos/EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications)

EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications has 795 stars on GitHub. Its RepoMasters card: Beta tier. Model Merging in LLMs, MLLMs, and…

| Field | Value |
| --- | --- |
| Owner | [EnnengYang](https://repo.masters-masters.com/en/owners/EnnengYang) |
| Stars | 795 |
| Forks | 50 |
| Language | No language |
| License | None |
| Created | 2024 |
| Topics | attack-defense, continual-learning, ensemble-learning, federated-learning, generalization, generative-model, large-language-models, model-fusion, model-merging, multi-domain-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications](https://github.com/EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## More repos by EnnengYang

- [EnnengYang/Awesome-Forgetting-in-Deep-Learning · ★ 369 · Alpha](https://repo.masters-masters.com/en/repos/EnnengYang/Awesome-Forgetting-in-Deep-Learning)
- [EnnengYang/AdaMerging · ★ 116 · Python · Prototype](https://repo.masters-masters.com/en/repos/EnnengYang/AdaMerging)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.