Showing 3 open source projects for "one plus"

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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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    llamafile

    llamafile

    Distribute and run LLMs with a single file

    llamafile lets you distribute and run LLMs with a single file. (announcement blog post). Our goal is to make open LLMs much more accessible to both developers and end users. We're doing that by combining llama.cpp with Cosmopolitan Libc into one framework that collapses all the complexity of LLMs down to a single-file executable (called a "llamafile") that runs locally on most computers, with no installation. The easiest way to try it for yourself is to download our example llamafile for the...
    Downloads: 80 This Week
    Last Update:
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  • 2
    AWS GenAI LLM Chatbot

    AWS GenAI LLM Chatbot

    A modular and comprehensive solution to deploy a Multi-LLM

    AWS GenAI LLM Chatbot is an enterprise-ready reference solution for deploying a secure, feature-rich generative AI chatbot on AWS with retrieval-augmented generation capabilities. The project is built as a modular blueprint that helps organizations stand up a production-oriented chat experience rather than a simple demo, combining model access, knowledge retrieval, storage, security, and user interface components into one deployable system. It supports multiple model providers and endpoints,...
    Downloads: 0 This Week
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  • 3
    MiniMax-M1

    MiniMax-M1

    Open-weight, large-scale hybrid-attention reasoning model

    MiniMax-M1 is presented as the world’s first open-weight, large-scale hybrid-attention reasoning model, designed to push the frontier of long-context, tool-using, and deeply “thinking” language models. It is built on the MiniMax-Text-01 foundation and keeps the same massive parameter budget, but reworks the attention and training setup for better reasoning and test-time compute scaling. Architecturally, it combines Mixture-of-Experts layers with lightning attention, enabling the model to...
    Downloads: 0 This Week
    Last Update:
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