#83 · Primary category: Foundation Models

Aria

mixture-of-experts multimodal vision-and-language

Codebase for Aria - an Open Multimodal Native MoE

Project last updated:01/22/25

GitHub Stars

1.1K

Forks

89

Contributors

11

License

Apache-2.0

Why we included this project

Aria is worth a look if you want one open model that actually handles text, images, documents, and video instead of stitching together several specialized systems. It is a mixture-of-experts model with 25.3B total parameters but only 3.9B active per token, which keeps inference and fine-tuning noticeably cheaper than a dense model of similar size. The repo ships a working codebase with clear install steps and Hugging Face integration, so you can pull the weights, ask a chat-style question about an image, or fine-tune on your own data with a single A100-class GPU. With a 64K context window and strong results on video and document understanding, it is a practical base for real vision assistants or document analysis pipelines, and the Apache-2.0 license makes it easy to build on.

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