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FastChat vs Text Generation Inference

A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.

Not the right match-up?
FA FastChat Platform for serving and evaluating large language models VS TE Text Generation Inference Archived Hugging Face toolkit for production LLM serving
FeatureFastChatText Generation Inference
Deploy effortUnder-an-hour setupUnder-an-hour setup
Health score69 · Good15 · At risk
StatusActively maintainedArchived
CategoryLocal LLM RunnersLocal LLM Runners
LicenseApache-2.0Apache-2.0
LanguagePythonPython
Setup difficultyHardHard
Min. RAM8,192 MB16,384 MB
Deploymentdocker, sourcedocker, kubernetes
GitHub stars★ 39,550★ 10,884
First released20232022
ReplacesOpenAI APIOpenAI API

What are FastChat and Text Generation Inference?

FastChat

FastChat is an open platform for training, serving, and evaluating large language model chatbots. It powers the Chatbot Arena and provides an OpenAI-compatible API server for self-hosted models.

  • OpenAI-compatible API
  • Web UI for model chat
  • Distributed serving
  • Model evaluation tools

Read the full FastChat guide →

Text Generation Inference

Text Generation Inference is Hugging Face's production-grade toolkit for deploying and serving large language models. It offers optimized transformers code, continuous batching, and an OpenAI-compatible API.

  • Production LLM serving
  • Continuous batching
  • Tensor parallelism
  • OpenAI-compatible endpoint

FastChat vs Text Generation Inference: key differences

The biggest difference is maintenance: Text Generation Inference's repository is archived and no longer developed, while FastChat is actively maintained. Both projects are written in Python. FastChat is the lighter option, starting around 8,192 MB of RAM against 16,384 MB for Text Generation Inference. FastChat has the considerably larger community, at 39,550 GitHub stars versus 10,884.

Why pick each one

Choose FastChat if…

  • OpenAI-compatible API
  • Powers Chatbot Arena
  • Multi-model serving

Watch out for

  • GPU recommended
  • Steep learning curve
FastChat details

Choose Text Generation Inference if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 10.9k GitHub stars
Text Generation Inference details

Frequently asked questions

Is FastChat or Text Generation Inference better?

Neither is universally better. FastChat has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.

Are FastChat and Text Generation Inference free and open-source?

Yes. FastChat is licensed under Apache-2.0 and Text Generation Inference under Apache-2.0. Both can be self-hosted at no software cost.

Can I run FastChat and Text Generation Inference with Docker?

FastChat: yes. Text Generation Inference: yes.

Which is lighter on resources, FastChat or Text Generation Inference?

FastChat has the smaller minimum footprint at 8,192 MB of RAM, compared to about 16,384 MB for Text Generation Inference. Real-world usage depends on library size, user count, and enabled features.

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