ローカルLLM
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
★ 39.6k スターApache-2.0
ガイドを見る →llmは、simonwが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: simonw/llm）。GitHubスターは12,583、フォークは1,014で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年9月22日です。
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 💬🚀
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
BitNet — Microsoft's official inference framework for 1-bit large language models, running fast on ordinary CPUs, MIT
Google DeepMind's Gemma open-weight LLM library — install, load and chat with Gemma models in Python.
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…
LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — llmが合わなかった場合に検討したい、現実的な候補リストです。
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.
カタログの中でllmとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
Open bilingual (Chinese-English) 6B chat LLM with 32K-context variant and low-memory INT4 inference.
Typescript/React Library for AI Chat 💬🚀
A lightweight vLLM implementation built from scratch in about 1,200 readable lines of Python.
KoboldCpp - Run GGUF AI models locally with a KoboldAI UI. One File. Zero Install
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.