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<!-- <p align="center">
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<br>Aria</br>
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🔗 <a href="https://huggingface.co" target="_blank"> Try Aria!</a> · 📖 <a href="https://huggingface.co" target="_blank">Blog</a> · 📌 <a href="https://huggingface.co" target="_blank">Paper</a> ·
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·🖤 <a href="https://huggingface.co" target="_blank">GitHub</a> 💜 <a href="https://huggingface.co" target="_blank">Discord</a>
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· 💙 <a href="https://huggingface.co" target="_blank">Twitter</a>
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# Aria Model Card
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- Aria is the **first open multimodal native MoE** model, capable of seamlessly handling various input modalities within a MoE architecture.
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- **Lightweight and Fast**: Aria is a mixture-of-expert model with 3.9B activated parameters per token. It efficently encodes visual input of variable sizes and aspect ratios.
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- **Long Multimodal Context Window**: Aria supports multimodal input of up to 64K tokens. It can caption a 256-frame video in 10 seconds.
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<!-- # Model Info
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| Model | Download | Parameter | Context Length |
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<br>Aria</br>
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</p> -->
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# Aria Model Card
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- Aria is the **first open multimodal native MoE** model, capable of seamlessly handling various input modalities within a MoE architecture.
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- **Lightweight and Fast**: Aria is a mixture-of-expert model with 3.9B activated parameters per token. It efficently encodes visual input of variable sizes and aspect ratios.
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- **Long Multimodal Context Window**: Aria supports multimodal input of up to 64K tokens. It can caption a 256-frame video in 10 seconds.
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<p align="center">
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🔗 <a href="https://rhymes.ai/" target="_blank"> Try Aria!</a> · 📖 <a href="https://www.rhymes.ai/blog-details/aria-first-open-multimodal-native-moe-model" target="_blank">Blog</a> · 📌 <a href="https://huggingface.co" target="_blank">Paper</a>
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· ⭐<a href="https://github.com/rhymes-ai/Aria" target="_blank">GitHub</a>
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</p>
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<!-- # Model Info
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| Model | Download | Parameter | Context Length |
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