# NVlabs/OmniVinci

<https://repo.masters-masters.com/en/repos/NVlabs/OmniVinci>

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

NVlabs/OmniVinci has 685 stars on GitHub. Its RepoMasters card: Alpha tier. OmniVinci is an omni-modal LLM for joint understanding of vision, audio, and…

| Field | Value |
| --- | --- |
| Owner | [NVlabs](https://repo.masters-masters.com/en/owners/NVlabs) |
| Stars | 685 |
| Forks | 56 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2025 |
| Topics | audio-language-model, deep-learning, large-language-models, multimodal-large-language-models, vision-language-model |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [NVlabs/OmniVinci](https://github.com/NVlabs/OmniVinci) |

## Repository

OmniVinci is an omni-modal LLM for joint understanding of vision, audio, and language.

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.