Update README.md

README.md

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 # Aria Model Card
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+[Dec 1, 2024] *We have released the base models (with native multimodal pre-training) for Aria ([Aria-Base-8K](https://huggingface.co/rhymes-ai/Aria-Base-8K) and [Aria-Base-64K](https://huggingface.co/rhymes-ai/Aria-Base-64K)) for research purposes and continue training.*
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 - Aria is the **first open multimodal native MoE** model, capable of seamlessly handling various input modalities within a MoE architecture.
 - Aria performs **on par with GPT-4o mini and Gemini 1.5 Flash** across a range of multimodal tasks while maintaining strong performance on **text**-only tasks.
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 ## Key features
 
-- **SoTA Multimodal Native Performance**: Aria achieves strong performance on a wide range of multimodal, language, and coding tasks. It is superior in video and document understanding.   
+- **SoTA Multimodal Native Performance**: Aria achieves strong performance on a wide range of multimodal, language, and coding tasks. It is superior in video and document understanding.
 - **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.  
 - **Long Multimodal Context Window**: Aria supports multimodal input of up to 64K tokens. It can caption a 256-frame video in 10 seconds.