Showing 3 open source projects for "double-entry"

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    Build Securely on AWS with Proven Frameworks

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    Paessler: Easy to Use With Enterprise Power. Free Trial

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  • 1
    GLM-4.1V

    GLM-4.1V

    GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning

    ...It represents a trade-off: somewhat reduced capacity compared to 4.5V or 4.6V, but with benefits in terms of speed, deployability, and lower hardware requirements — making it especially useful for developers experimenting locally, building lightweight agents, or deploying on limited infrastructure. Given its open-source availability under the same project repository, it provides an accessible entry point for testing multimodal reasoning and building proof-of-concept applications.
    Downloads: 0 This Week
    Last Update:
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  • 2
    MCPB

    MCPB

    One-click local MCP server installation in desktop apps

    MCPB (MCP Bundles) defines a packaging format and toolchain for one-click installation of local Model Context Protocol (MCP) servers in desktop apps like Claude for macOS and Windows. An .mcpb file is a zip archive containing your server and a manifest.json that declares capabilities, entry points, permissions, and configuration inputs, much like how .crx packages Chrome extensions or .vsix packages VS Code extensions. The goal is to make local tool servers easy for end users to install, update, and configure, while giving app developers a consistent way to discover and load them safely. The repository includes the bundle spec, a CLI to scaffold and pack bundles, and the loading/verification code used by Claude’s desktop apps, including support for auto-updates and a curated directory. ...
    Downloads: 4 This Week
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  • 3
    LLaMA.go

    LLaMA.go

    llama.go is like llama.cpp in pure Golang

    ...The code of the project is based on the legendary ggml.cpp framework of Georgi Gerganov written in C++ with the same attitude to performance and elegance. Both models store FP32 weights, so you'll needs at least 32Gb of RAM (not VRAM or GPU RAM) for LLaMA-7B. Double to 64Gb for LLaMA-13B.
    Downloads: 0 This Week
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