# OpenMOSS/EasyWAM

<https://repo.masters-masters.com/en/repos/OpenMOSS/EasyWAM>

[Home](https://repo.masters-masters.com/en) › [OpenMOSS](https://repo.masters-masters.com/en/owners/OpenMOSS) › [EasyWAM](https://repo.masters-masters.com/en/repos/OpenMOSS/EasyWAM)

OpenMOSS/EasyWAM has 405 stars on GitHub. Its RepoMasters card: Alpha tier. A unified framework for training, fine-tuning, and evaluating World Action Models

| Field | Value |
| --- | --- |
| Owner | [OpenMOSS](https://repo.masters-masters.com/en/owners/OpenMOSS) |
| Stars | 405 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2026 |
| Topics | codebase, foundation-models, robotics, world-action-model, benchmark, embodied-ai, lora, vision-language-action, world-models |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [OpenMOSS/EasyWAM](https://github.com/OpenMOSS/EasyWAM) |

## Repository

A unified framework for training, fine-tuning, and evaluating World Action Models

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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