Lokale LLMs
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
★ 39,6 Tsd. SterneApache-2.0
Anleitung ansehen →llm ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von simonw (simonw/llm auf GitHub). Es hat 12.583 Sterne auf GitHub und 1.014 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 22. September 2026 auf GitHub aktualisiert.
Access large language models from the command-line
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.
Existing tools plug in by changing one URL.
Ask questions over your PDFs, notes, and codebases.
Pay nothing per token, ever.
Prompts and documents stay on your hardware, always.
RAG, tools, and agents build on the same base.
Smart compression runs big models on modest hardware.
Download the source and move into the project folder.
git clone https://github.com/simonw/llm.git
cd llmEvery 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 simonw/llm with 1,014 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
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.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Typescript/React Library for AI Chat 💬🚀
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LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llm…
Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls llm nicht das Richtige ist.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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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 llm bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Open bilingual (Chinese-English) 6B chat LLM with 32K-context variant and low-memory INT4 inference.
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A lightweight vLLM implementation built from scratch in about 1,200 readable lines of Python.
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Alibaba's lightweight, blazing-fast inference engine for on-device LLMs and edge AI.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.