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oobabooga/textgen

Analysis updated 2026-06-20

46,945PythonAudience · developerComplexity · 3/5Setup · moderate

TLDR

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.

Mindmap

mindmap
  root((textgen))
    What it does
      Local AI chat
      No cloud needed
      Private by design
    Features
      Vision and file input
      Tool calling
      Fine-tuning
      OpenAI API compat
    Tech stack
      Python
      llama.cpp
      Browser UI
    Who it helps
      Privacy-focused users
      Developers testing apps
      Uncensored model users
    Setup
      Windows Linux macOS
      CPU or GPU
      Download models once
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What do people build with it?

USE CASE 1

Chat with a locally-running AI model privately without any internet connection or per-message cost

USE CASE 2

Swap in a local TextGen instance wherever an app currently calls the OpenAI or Anthropic API

USE CASE 3

Fine-tune an open-source language model on your own text data to customize its behavior

USE CASE 4

Attach PDFs, Word documents, or images to your AI conversations for the model to analyze

What is it built with?

Pythonllama.cpp

How does it compare?

oobabooga/textgenmicrosoft/vibevoiceminimaxir/big-list-of-naughty-strings
Stars46,94546,67647,629
LanguagePythonPythonPython
Setup difficultymoderatehardeasy
Complexity3/54/51/5
Audiencedeveloperresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires downloading large model files (several GB) separately after installation.

In plain English

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.

Copy-paste prompts

Prompt 1
Using oobabooga/text-generation-webui, write a Python script that sends a chat message to the local OpenAI-compatible API endpoint and prints the streamed response.
Prompt 2
Set up oobabooga/text-generation-webui with the llama.cpp backend to load a GGUF model file. Walk me through the command to start the server and which loader settings to choose for a CPU-only machine.
Prompt 3
I want to enable tool-calling in oobabooga/text-generation-webui so the model can run Python scripts during a conversation. Show me the configuration steps and a simple tool example.
Prompt 4
How do I fine-tune a model in oobabooga/text-generation-webui using my own dataset? Give me the steps for LoRA training with a sample alpaca-format JSONL file.
Prompt 5
Configure oobabooga/text-generation-webui to run as a persistent local server on Windows startup so I can always reach it at localhost:5000.

Frequently asked questions

What is textgen?

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.

What language is textgen written in?

Mainly Python. The stack also includes Python, llama.cpp.

How hard is textgen to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is textgen for?

Mainly developer.

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