> ## Documentation Index
> Fetch the complete documentation index at: https://baseten-philip-copy-0226.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to Truss

> The simplest way to serve AI/ML models in production

## Why Truss?

* **Write once, run anywhere:** Package and test model code, weights, and dependencies with a model server that behaves the same in development and production.
* **Fast developer loop:** Implement your model with fast feedback from a live reload server, and skip Docker and Kubernetes configuration with a batteries-included model serving environment.
* **Support for all Python frameworks**: From `transformers` and `diffusers` to `PyTorch` and `TensorFlow` to `TensorRT` and `Triton`, Truss supports models created and served with any framework.

See Trusses for popular models including:

* 🦙 [Llama 2 7B](https://github.com/basetenlabs/truss-examples/tree/main/llama/llama-2-7b-chat) ([13B](https://github.com/basetenlabs/truss-examples/tree/main/llama/llama-2-13b-chat)) ([70B](https://github.com/basetenlabs/truss-examples/tree/main/llama/llama-2-70b-chat))
* 🎨 [Stable Diffusion XL](https://github.com/basetenlabs/truss-examples/tree/main/stable-diffusion/stable-diffusion-xl-1.0)
* 🗣 [Whisper](https://github.com/basetenlabs/truss-examples/tree/main/whisper/whisper-truss)

and [dozens more examples on GitHub](https://github.com/basetenlabs/truss-examples/).

## Deploy your first model

<CardGroup cols={2}>
  <Card title="Quickstart" icon="book" href="/quickstart">
    Package, deploy, and invoke an ML model in production all in less than five minutes.
  </Card>

  <Card title="Truss tutorial" icon="books" href="/learn/intro">
    Learn model deployment step-by-step from "Hello, World!" to streaming output from an open-source LLM.
  </Card>
</CardGroup>

## Truss contributors

Truss is backed by [Baseten](https://baseten.co) and built in collaboration with ML engineers worldwide. Special thanks to [Stephan Auerhahn](https://github.com/palp) @ [stability.ai](https://stability.ai/) and [Daniel Sarfati](https://github.com/dsarfati) @ [Salad Technologies](https://salad.com/) for their contributions.

We enthusiastically welcome contributions in accordance with our [contributors' guide](/contribute/contributing) and [code of conduct](https://github.com/basetenlabs/truss/blob/main/CODE_OF_CONDUCT.md).