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Open Source Local Model Runners using C++

A curated collection of the best open source run and serve large language models locally or on your own infrastructure. using C++.

Run open-source LLMs locally on your own machine
  • Stars


    178,973
  • Last commit


    9 hours ago
  • License


    MIT
Runs open-source language models locally with a simple setup, plus optional cloud access for larger models when local hardware isn't enough.

Open Source Alternative to:

Run LLMs locally with minimal setup, maximum hardware support
  • Stars


    124,707
  • Last commit


    7 hours ago
  • License


    MIT
C/C++ inference engine for large language models, supporting quantization, multi-GPU, Apple Silicon, and an OpenAI-compatible server across a wide range of hardware.

Open Source Alternative to:

Run open-source AI models privately on your own device
  • Stars


    77,404
  • Last commit


    1 year ago
  • License


    MIT
GPT4All runs open-source language models locally on Windows, macOS, and Linux with no cloud dependency, keeping your data on your machine.

Open Source Alternative to:

Self-hosted AI runtime for text, voice, vision, and agents
  • Stars


    48,580
  • Last commit


    9 hours ago
  • License


    MIT
Run LLMs, speech, image generation, and autonomous agents on your own hardware with an OpenAI-compatible API and 60+ swappable backends.

Open Source Alternative to:

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