AI Research

    Pistis Technical Report

    Unveiling a scalable post-training framework and new multimodal benchmarks for the Qwen-based Pistis architecture.

    We introduce the Pistis model family, comprising 27B- and 9B-parameter multimodal large language models built on Qwen3.6 and Qwen3.5, respectively, and developed through a general and scalable post-training framework. The framework first establishes a strong foundation through la...

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    ArXiv CS.AI

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    ArXiv CS.AI
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    The introduction of the Pistis model family highlights an intensifying race to refine multimodal capabilities through specialized, scalable post-training frameworks. By leveraging high-performing Qwen foundations, these models demonstrate how architectural modularity can accelerate the development of state-of-the-art AI systems.

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