Local LLM
ComfyUI-GGUF
GGUF Quantization support for native ComfyUI models
★ 4.1k starsApache-2.0
View guide →An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
FastChat is an open-source local llm project by lm-sys (lm-sys/FastChat on GitHub). It has 39,555 GitHub stars and 4,776 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 1 May 2026.
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.
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.
Pay nothing per token, ever.
Prompts and documents stay on your hardware, always.
Download the source and move into the project folder.
git clone https://github.com/lm-sys/FastChat.git
cd FastChatEvery 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 lm-sys/FastChat with 4,776 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.
GGUF Quantization support for native ComfyUI models
All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Access large language models from the command-line
Desktop AI agent platform with one-click models and offline-first RAG.
Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if FastChat is not the right fit.
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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Free and open — grab the source, star the repo, and start creating.