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    TurboFieldfare

    TurboFieldfare

    Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook

    ...The project includes a native Mac application, command-line tools, a streaming installer, a Swift library, and an experimental OpenAI-compatible local server. Quantized weights, custom Metal kernels, chunked prefill, and a bounded expert cache improve efficiency. The installer downloads and repacks model ranges without staging a second full checkpoint. Its current scope is text-only Gemma inference on macOS 26 and Apple Silicon hardware.
    Downloads: 4 This Week
    Last Update:
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