# vllm-project/vllm-omni

<https://repo.masters-masters.com/en/repos/vllm-project/vllm-omni>

[Home](https://repo.masters-masters.com/en) › [vllm-project](https://repo.masters-masters.com/en/owners/vllm-project) › [vllm-omni](https://repo.masters-masters.com/en/repos/vllm-project/vllm-omni)

vllm-project/vllm-omni has 7,521 stars on GitHub. Its RepoMasters card: Stable tier. A framework for efficient model inference with omni-modality models

| Field | Value |
| --- | --- |
| Owner | [vllm-project](https://repo.masters-masters.com/en/owners/vllm-project) |
| Stars | 7,521 |
| Forks | 2,044 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2025 |
| Topics | diffusion, inference, model-serving, pytorch, transformer, audio-generation, image-generation, multimodal, video-generation, world-model |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [vllm-project/vllm-omni](https://github.com/vllm-project/vllm-omni) |

## Repository

A framework for efficient model inference with omni-modality models

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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