# Tencent/WeMM-Embedding

<https://repo.masters-masters.com/en/repos/Tencent/WeMM-Embedding>

[Home](https://repo.masters-masters.com/en) › [Tencent](https://repo.masters-masters.com/en/owners/Tencent) › [WeMM-Embedding](https://repo.masters-masters.com/en/repos/Tencent/WeMM-Embedding)

Tencent/WeMM-Embedding has 1,804 stars on GitHub. Its RepoMasters card: Beta tier. WeMM-Embedding is a family of universal multimodal embedding models by the…

| Field | Value |
| --- | --- |
| Owner | [Tencent](https://repo.masters-masters.com/en/owners/Tencent) |
| Stars | 1,804 |
| Forks | 124 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2026 |
| Topics | embedding-models, multimodal, multimodal-llm |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Tencent/WeMM-Embedding](https://github.com/Tencent/WeMM-Embedding) |

## Repository

WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.

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

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