Showing 2 open source projects for "remote execution"

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  • 1
    wllama

    wllama

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

    ...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 enables privacy-preserving AI applications that do not require sending data to remote servers. The framework provides both high-level APIs for common tasks such as text generation and embeddings, as well as low-level APIs that expose tokenization, sampling controls, and model state management.
    Downloads: 1 This Week
    Last Update:
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  • 2
    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 software, and command-line tools. The system automatically detects the available hardware on a machine and selects the most appropriate compute backend, including CPU or GPU acceleration. ...
    Downloads: 2 This Week
    Last Update:
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