# QwenLM/Qwen2.5-Omni

<https://repo.masters-masters.com/en/repos/QwenLM/Qwen2.5-Omni>

[Home](https://repo.masters-masters.com/en) › [QwenLM](https://repo.masters-masters.com/en/owners/QwenLM) › [Qwen2.5-Omni](https://repo.masters-masters.com/en/repos/QwenLM/Qwen2.5-Omni)

QwenLM/Qwen2.5-Omni has 4,095 stars on GitHub. Its RepoMasters card: RC tier. Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud…

| Field | Value |
| --- | --- |
| Owner | [QwenLM](https://repo.masters-masters.com/en/owners/QwenLM) |
| Stars | 4,095 |
| Forks | 330 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2025 |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [QwenLM/Qwen2.5-Omni](https://github.com/QwenLM/Qwen2.5-Omni) |

## Repository

Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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