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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. model: Granite4 Vision by gabe-l-hart · Pull Request #23545 · ggml-org/llama.cpp

    Granite Vision 4.1 4B is a new vision-language model designed for efficient structured document extraction. It excels at tasks like chart, table, and key-value pair extraction, offering competitive performance in a compact 4B parameter size. This makes it a lightweight alternative to larger models for specialized document analysis. AI

    model: Granite4 Vision by gabe-l-hart · Pull Request #23545 · ggml-org/llama.cpp

    IMPACT Provides a compact, efficient solution for specialized document analysis tasks like chart and table extraction.

  2. model : add support for talkie-1930-13b by niklassheth · Pull Request #22596 · ggml-org/llama.cpp

    A new language model, talkie-1930-13b-it, has been developed, trained exclusively on English text from before 1931. This 13 billion parameter model is an instruction-tuned version of talkie-1930-13b-base, which was initially trained on 260 billion tokens. The fine-tuning process utilized a unique dataset of instruction-response pairs derived from historical reference works, followed by reinforcement learning to enhance its ability to follow instructions. AI

    IMPACT This model offers a novel approach to historical language simulation, potentially enabling new research into past communication styles and knowledge.