Showing 3 open source projects for "remote support"

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  • 1
    Hollama

    Hollama

    A minimal LLM chat app that runs entirely in your browser

    Hollama is a lightweight open-source chat application designed to run entirely within the browser while interacting with large language model servers. The project provides a minimal but powerful user interface for communicating with local or remote LLMs, including servers powered by Ollama or OpenAI-compatible APIs. Because the application runs as a static web interface, it does not require complex backend infrastructure and can be easily deployed or self-hosted. Hollama supports both...
    Downloads: 2 This Week
    Last Update:
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  • 2
    wllama

    wllama

    WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

    wllama is a WebAssembly-based library that enables large language model inference directly inside a web browser. Built as a binding for the llama.cpp inference engine, the project allows developers to run LLM models locally without requiring a server backend or dedicated GPU hardware. The library leverages WebAssembly SIMD capabilities to achieve efficient execution within modern browsers while maintaining compatibility across platforms. By running models locally on the user’s device, wllama...
    Downloads: 2 This Week
    Last Update:
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  • 3
    node-llama-cpp

    node-llama-cpp

    Run AI models locally on your machine with node.js bindings for llama

    node-llama-cpp is a JavaScript and Node.js binding that allows developers to run large language models locally using the high-performance inference engine provided by llama.cpp. The library enables applications built with Node.js to interact directly with local LLM models without requiring a remote API or external service. By using native bindings and optimized model execution, the framework allows developers to integrate advanced language model capabilities into desktop applications, server...
    Downloads: 2 This Week
    Last Update:
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