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@@ -110,7 +110,7 @@ Each base model's predictions were generated by running its standard GIFT-Eval n
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  ## πŸ”— Additional Resources
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- - **Technical Report** β€” *(coming soon)*
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  - [Blog Post](https://www.datadoghq.com/blog/ai/toto-2/)
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  - [Toto 2.0 Collection](https://huggingface.co/collections/Datadog/toto-20) β€” base Toto checkpoints (4m β†’ 2.5B), which is what we recommend deploying
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  - [Toto-2.0-2.5B-FT](https://huggingface.co/Datadog/Toto-2.0-2.5B-FT) β€” companion benchmark-only finetune
 
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  ## πŸ”— Additional Resources
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+ - [Technical Report](https://arxiv.org/abs/2605.20119)
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  - [Blog Post](https://www.datadoghq.com/blog/ai/toto-2/)
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  - [Toto 2.0 Collection](https://huggingface.co/collections/Datadog/toto-20) β€” base Toto checkpoints (4m β†’ 2.5B), which is what we recommend deploying
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  - [Toto-2.0-2.5B-FT](https://huggingface.co/Datadog/Toto-2.0-2.5B-FT) β€” companion benchmark-only finetune