Локальные LLM
ComfyUI-GGUF
GGUF Quantization support for native ComfyUI models
★ 4,1 тыс. звёздApache-2.0
Смотреть руководство →FastChat — проект с открытым исходным кодом из категории «Локальные LLM» от lm-sys (lm-sys/FastChat на GitHub). У него 39 555 звёзд на GitHub и 4 776 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 1 мая 2026.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
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
BitNet — Microsoft's official inference framework for 1-bit large language models, running fast on ordinary CPUs, MIT
Access large language models from the command-line
Desktop AI agent platform with one-click models and offline-first RAG.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если FastChat вам не подходит.
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.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к FastChat — продолжайте изучать полку по обе стороны от него.
BitNet — Microsoft's official inference framework for 1-bit large language models, running fast on ordinary CPUs, MIT
Hundreds of models & providers. One command to find what runs on your hardware.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI …
Run a 70B LLM on a single 4GB GPU — layer-by-layer inference with almost no memory tricks skipped
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
Strata — one-click Qwen3.8-Flash-Next inference on consumer hardware: chat, code and images, locally, no account, MIT
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.