Update README.md

README.md

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 TADA is a unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment. By leveraging a novel tokenizer and architectural design, TADA achieves high-fidelity synthesis and generation with a fraction of the computational overhead required by traditional models.
 
-⭐️ arxiv: https://arxiv.org/abs/2602.23068
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-⭐️ demo: https://huggingface.co/spaces/HumeAI/tada
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-⭐️ github: https://github.com/HumeAI/tada
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+⭐️ arxiv: https://arxiv.org/abs/2602.23068 \
+⭐️ demo: https://huggingface.co/spaces/HumeAI/tada \
+⭐️ github: https://github.com/HumeAI/tada \
 ⭐️ blog post:
 
 ## Key Features
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 | Model   | Base Model   | HuggingFace Hub                                           |
 | ------- | ------------ | --------------------------------------------------------- |
 | TADA-1B | Llama 3.2 1B | [`HumeAI/tada-1b`](https://huggingface.co/HumeAI/tada-1b) |
-| TADA-3B | Llama 3.2 3B | [`HumeAI/tada-3b`](https://huggingface.co/HumeAI/tada-3b) |
+| TADA-3B-ml | Llama 3.2 3B | [`HumeAI/tada-3b-ml`](https://huggingface.co/HumeAI/tada-3b-ml) |
 
 All models use the same encoder ([`HumeAI/tada-codec`](https://huggingface.co/HumeAI/tada-codec)) and can be loaded using the same API.