Showing 3 open source projects for "free memory"

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    x64dbg-MCP Server

    x64dbg-MCP Server

    x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin

    x64dbg-MCP Server is a native Model Context Protocol plugin that lets AI assistants control x64dbg through HTTP. It exposes debugger operations for loading programs, stepping execution, setting breakpoints, reading memory, inspecting registers, and analyzing modules. The toolset also covers threads, call stacks, symbols, references, pattern scans, PE structures, dumps, tracing, and process internals. Event callbacks let clients react to debugger state changes such as exceptions, pauses, DLL...
    Downloads: 16 This Week
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  • 2
    WASTE

    WASTE

    Run the full 2.78-trillion-parameter Kimi K3 model

    WASTE is an embeddable C inference engine for running extremely large mixture-of-experts models when the weights exceed available RAM. It keeps the shared model trunk in memory and streams only the experts selected for each token from fast NVMe storage. A bounded cache reuses recently needed experts, while lookahead routing begins disk reads before the next layer requires them. Its main target is the full 2.78-trillion-parameter Kimi K3 model, including multimodal image input. The engine has...
    Downloads: 0 This Week
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  • 3
    PyTorch-BigGraph

    PyTorch-BigGraph

    Generate embeddings from large-scale graph-structured data

    ...Its training loop is built for throughput: asynchronous I/O, memory-mapped tensors, and lock-free updates keep GPUs and CPUs fed even at extreme scale. The toolkit includes evaluation metrics and export tools so learned embeddings can be used in downstream nearest-neighbor search, recommendation, or analytics. In practice, PBG’s design lets practitioners train high-quality graph embeddings.
    Downloads: 0 This Week
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