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oobabooga 2026-03-24 06:45:39 -07:00
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@ -23,21 +23,20 @@ A Gradio web UI for running Large Language Models locally. 100% private and offl
## Features
- **Easy setup**: [Portable builds](https://github.com/oobabooga/text-generation-webui/releases) (zero setup, just unzip and run) for GGUF models on Windows/Linux/macOS, or a one-click installer for the full feature set.
- **Multiple backends**: [llama.cpp](https://github.com/ggerganov/llama.cpp), [Transformers](https://github.com/huggingface/transformers), [ExLlamaV3](https://github.com/turboderp-org/exllamav3), and [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM). Switch between backends and models without restarting.
- **File attachments**: Upload text files, PDF documents, and .docx documents to talk about their contents.
- **Vision (multimodal)**: Attach images to messages for visual understanding ([tutorial](https://github.com/oobabooga/text-generation-webui/wiki/Multimodal-Tutorial)).
- **Tool-calling**: Models can call custom functions during chat — web search, page fetching, math, and more. Each tool is a single `.py` file, easy to create and extend ([tutorial](https://github.com/oobabooga/text-generation-webui/wiki/Tool-Calling-Tutorial)).
- **OpenAI/Anthropic-compatible API**: Chat, Completions, and Messages endpoints with tool-calling support. Use as a local drop-in replacement for the OpenAI/Anthropic APIs ([examples](https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples)).
- **Tool-calling**: Models can call custom functions during chat — web search, page fetching, math, and more. Each tool is a single `.py` file, easy to create and extend ([tutorial](https://github.com/oobabooga/text-generation-webui/wiki/Tool-Calling-Tutorial)).
- **Vision (multimodal)**: Attach images to messages for visual understanding ([tutorial](https://github.com/oobabooga/text-generation-webui/wiki/Multimodal-Tutorial)).
- **File attachments**: Upload text files, PDF documents, and .docx documents to talk about their contents.
- **Training**: Fine-tune LoRAs on multi-turn chat or raw text datasets. Supports resuming interrupted runs ([tutorial](https://github.com/oobabooga/text-generation-webui/wiki/05-%E2%80%90-Training-Tab)).
- **Image generation**: A dedicated tab for `diffusers` models like **Z-Image-Turbo**. Features 4-bit/8-bit quantization and a persistent gallery with metadata ([tutorial](https://github.com/oobabooga/text-generation-webui/wiki/Image-Generation-Tutorial)).
- **Easy setup**: [Portable builds](https://github.com/oobabooga/text-generation-webui/releases) (zero setup, just unzip and run) for GGUF models on Windows/Linux/macOS, or a one-click installer for the full feature set.
- 100% offline and private, with zero telemetry, external resources, or remote update requests.
- `instruct` mode for instruction-following (like ChatGPT), and `chat-instruct`/`chat` modes for talking to custom characters. Prompts are automatically formatted with Jinja2 templates.
- Edit messages, navigate between message versions, and branch conversations at any point.
- Free-form text generation in the Notebook tab without being limited to chat turns.
- Multiple sampling parameters and generation options for sophisticated text generation control.
- Aesthetic UI with dark and light themes.
- Syntax highlighting for code blocks and LaTeX rendering for mathematical expressions.
- Dark/light themes, syntax highlighting for code blocks, and LaTeX rendering for mathematical expressions.
- Extension support, with numerous built-in and user-contributed extensions available. See the [wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
## How to install
@ -429,7 +428,7 @@ API generation defaults:
That's it. The UI will detect it automatically.
To check what will fit your GPU, you can use the [VRAM Calculator](https://huggingface.co/spaces/oobabooga/accurate-gguf-vram-calculator).
To estimate how much memory a model will use, you can use the [GGUF Memory Calculator](https://huggingface.co/spaces/oobabooga/accurate-gguf-vram-calculator).
<details>
<summary>Other model types (Transformers, EXL3)</summary>