Lokale LLMs
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Anleitung ansehen →llamafile ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von mozilla-ai (mozilla-ai/llamafile auf GitHub). Es hat 26.164 Sterne auf GitHub und 1.636 Forks, wird unter der Lizenz Unknown veröffentlicht und wurde zuletzt am 1. Oktober 2026 auf GitHub aktualisiert.
Distribute and run LLMs with a single file.
One binary or app gets you a working local model setup.
Pick a size that fits your RAM/VRAM; smaller models run on laptops.
Use the built-in UI, or point OpenAI-compatible clients at it.
Airplane mode works — your prompts never leave the device.
RAG, tools, and agents build on the same base.
Smart compression runs big models on modest hardware.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Ask questions over your PDFs, notes, and codebases.
Download the source and move into the project folder.
git clone https://github.com/mozilla-ai/llamafile.git
cd llamafileEvery 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 commandIt is an open-source project at mozilla-ai/llamafile with 1,636 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
8B models run on 16GB RAM; bigger models want a real GPU.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
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Discover and run local AI apps, serving optimized LLMs from your own GPU and NPU.
Run local LLMs like Llama and DeepSeek right inside your web browser.
Run a 70B LLM on a single 4GB GPU — layer-by-layer inference with almost no memory tricks skipped
Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls llamafile 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
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Verwandte Projekte der Kategorie Lokale LLMs im Katalog, die llamafile bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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An open-source RAG-based tool for chatting with your documents.
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Compile and run LLMs anywhere - phones, laptops, browsers and GPUs - with one engine
Run a 70B LLM on a single 4GB GPU — layer-by-layer inference with almost no memory tricks skipped
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.