Локальные LLM
llama.cpp
LLM inference in C/C++
★ 130,2 тыс. звёздMIT
Смотреть руководство →nobodywho — проект с открытым исходным кодом из категории «Локальные LLM» от nobodywho-ooo (nobodywho-ooo/nobodywho на GitHub). У него 1 515 звёзд на GitHub и 92 форка, он распространяется по лицензии EUPL-1.2 и последний раз обновлялся на GitHub 2 октября 2026.
Lightweight inference engine for running LLMs efficiently on any device.
Integrate NobodyWho into your project.
Pick a model that fits your device.
Generate text locally and efficiently.
Distribute with the lightweight runtime.
Runs LLMs on desktops, mobile, and more.
Tuned for low resource use.
Works with the popular quantized format.
Plugins for game developers.
Built to live inside your app.
No cloud dependency.
Download the source and move into the project folder.
git clone https://github.com/nobodywho-ooo/nobodywho.git
cd nobodywhoEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandThe European Union Public Licence, a copyleft-style open license; check its terms for your use.
EUPL-1.2 allows commercial use under its copyleft terms; read the license.
It targets any device; check the docs for platform specifics.
Yes, Godot plugins and engine integrations are a focus.
It is a streamlined embeddable engine aimed at apps and games.
LLM inference in C/C++
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in productio…
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots
Alibaba's lightweight, blazing-fast inference engine for on-device LLMs and edge AI.
GPT4All — run local LLMs on any device: a free desktop chat client and Python SDK that run open models entirely on your CPU, no GPU or cloud required
A high-throughput and memory-efficient inference and serving engine for LLMs
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если nobodywho вам не подходит.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к nobodywho — продолжайте изучать полку по обе стороны от него.
Agent hub that spins up a fresh orchestrator per task, local-first.
Run local LLMs like Llama and DeepSeek right inside your web browser.
Self-evolving general AI agent running fully locally, a Manus-style alternative.
Turn your AI coding chats into reusable skills with IDE extensions.
Whisper-powered subtitle generation: Web UI, CLI, and package.
Offline inference engine for art.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.