Lokale LLMs
llama.cpp
LLM inference in C/C++
★ 130,2 Tsd. SterneMIT
Anleitung ansehen →nobodywho ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von nobodywho-ooo (nobodywho-ooo/nobodywho auf GitHub). Es hat 1.515 Sterne auf GitHub und 92 Forks, wird unter der Lizenz EUPL-1.2 veröffentlicht und wurde zuletzt am 2. Oktober 2026 auf GitHub aktualisiert.
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
Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls nobodywho nicht das Richtige ist.
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.
Verwandte Projekte der Kategorie Lokale LLMs im Katalog, die nobodywho bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.