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    AI

    Unsloth updates Docker image to train and run 500-plus models locally

    Unsloth says the image works on NVIDIA and AMD, with a new graphical interface or notebook workflow and no setup required.

    Daniel HanDH
    1 Source, 20d ago, first seen 20d ago

    TLDR

    Unsloth says its Docker image lets users train and run 500-plus models locally through a graphical interface or notebooks. A related announcement lists multi-user accounts for Unsloth Desktop, custom Jupyter Notebook themes and titles, expandable cells, RDNA1 and RDNA2 support, and Windows ARM64 CUDA support. That announcement also claims faster GRPO and 2x faster image diffusion inference with FP8/INT8 support.

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    1 Source, first seen 20d ago

    Combined views

    5.3K

    1 Source, first seen 20d ago

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    1 Source

    Daniel Han@danielhanchenWe added multi user accounts to @UnslothAI Desktop, a revamped Docker & custom Jupyter Notebook with custom themes, titles and expandable cells, RDNA1+2 support, ARM64 Windows CUDA support, faster GRPO, and FP8/INT8 image diffusion support for 2x faster inference!20d

    1 Source

    Daniel Han@danielhanchenWe added multi user accounts to @UnslothAI Desktop, a revamped Docker & custom Jupyter Notebook with custom themes, titles and expandable cells, RDNA1+2 support, ARM64 Windows CUDA support, faster GRPO, and FP8/INT8 image diffusion support for 2x faster inference!20d