Analysis updated 2026-06-20
Chat with a locally-running AI model privately without any internet connection or per-message cost
Swap in a local TextGen instance wherever an app currently calls the OpenAI or Anthropic API
Fine-tune an open-source language model on your own text data to customize its behavior
Attach PDFs, Word documents, or images to your AI conversations for the model to analyze
| oobabooga/textgen | microsoft/vibevoice | minimaxir/big-list-of-naughty-strings | |
|---|---|---|---|
| Stars | 46,945 | 46,676 | 47,629 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | hard | easy |
| Complexity | 3/5 | 4/5 | 1/5 |
| Audience | developer | researcher | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires downloading large model files (several GB) separately after installation.
TextGen is a desktop application for running large language models (LLMs), the same type of AI that powers ChatGPT, entirely on your own computer, with no internet connection required and no data sent to any external service. The problem it solves is that most people who want to use powerful AI assistants depend on cloud services, which cost money per token, require sharing your data with a provider, and can be censored or restricted. TextGen lets you download an open-source language model once and run it locally as many times as you want, privately. The application provides a chat interface similar to what you see in consumer AI products, you type a message and the model responds in real time. It supports vision (attaching images to your messages for the model to analyze), file attachments like PDFs and Word documents, tool-calling (where the model can run small Python scripts to perform actions like web searches or calculations during a conversation), and fine-tuning (training a model on your own data to customize its behavior). Technically, it runs as a local web server that you access in your browser, or as a standalone desktop app for quick startup. It supports several inference backends including llama.cpp, which is optimized for running models efficiently on consumer hardware including CPU-only machines. It also exposes an API that is compatible with the OpenAI and Anthropic API formats, so existing applications built for those commercial services can point to your local TextGen instance instead. You would use this if you want to experiment with AI models without paying per use, if you have privacy requirements that preclude sending data to the cloud, if you want to use uncensored open-source models, or if you are a developer building applications who wants a local test environment. It is written in Python and supports Linux, Windows, and macOS.
TextGen is a desktop app that lets you run powerful AI language models entirely on your own computer, privately, offline, and for free, with a chat interface similar to ChatGPT and no data sent to any cloud service.
Mainly Python. The stack also includes Python, llama.cpp.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.