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  ### Model Description
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  GLADOS-1 is the first computer-use (CUA) model post-trained using **collective, crowd-sourced trajectories**.
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- Leveraging the enourmous [Pango dataset](https://huggingface.co/datasets/chakra-labs/pango-sample) (with primarily Chrome based interactions), it's purpose is to provide a lense as to what's possible with enormous trajectory sizes in computer use.
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  It also represents the first open-sourced post-training pipeline for [UI-TARS](https://arxiv.org/pdf/2501.12326), inspired by the existing [Qwen2VL finetuning series](https://github.com/2U1/Qwen2-VL-Finetune).
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  ### Model Description
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  GLADOS-1 is the first computer-use (CUA) model post-trained using **collective, crowd-sourced trajectories**.
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+ Leveraging the enourmous [PANGO dataset](https://huggingface.co/datasets/chakra-labs/pango-sample) (with primarily Chrome based interactions), it's purpose is to provide a lense as to what's possible with enormous trajectory sizes in computer use.
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  It also represents the first open-sourced post-training pipeline for [UI-TARS](https://arxiv.org/pdf/2501.12326), inspired by the existing [Qwen2VL finetuning series](https://github.com/2U1/Qwen2-VL-Finetune).
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