Showing 3 open source projects for "mixture"

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  • 1
    llmfit

    llmfit

    157 models, 30 providers, one command to find what runs on hardware

    ...It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user preferences. llmfit also supports advanced configurations including multi-GPU setups, mixture-of-experts architectures, and dynamic quantization recommendations. By presenting clear performance estimates and compatibility guidance, the project reduces the trial-and-error typically involved in local LLM experimentation. Overall, llmfit serves as a practical decision assistant for developers who want to run language models efficiently on their own machines.
    Downloads: 53 This Week
    Last Update:
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  • 2
    LocustDB

    LocustDB

    Massively parallel, high performance analytics database

    ...When loading .csv or .csv.gz files with --load, the first line of each file is assumed to be a header containing the names for all columns. The type of each column will be derived automatically, but this might break for columns that contain a mixture of numbers/strings/empty entries. To persist data to disk in LocustDB's internal storage format (which allows fast queries from disk after the initial load), specify the storage location with --db-path.
    Downloads: 6 This Week
    Last Update:
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  • 3
    shimmy

    shimmy

    Python-free Rust inference server

    ...It supports modern model formats such as GGUF and SafeTensors and can automatically discover models stored locally or in common directories used by other AI tools. Advanced capabilities include CPU offloading for Mixture-of-Experts models and GPU acceleration, enabling large models to run on consumer hardware with limited VRAM.
    Downloads: 3 This Week
    Last Update:
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