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FastChat project preview

FastChat

Open platform for training, serving, and evaluating LLM-based chatbots by LMSYS Org.

LicenseApache-2.0
GitHub stars35.5k
Last commit1 weeks ago
Tags5 topics
Llm Serving PlatformOpenai Compatible ApiDeveloper ToolsDistributed InferenceChatbot Arena
Overview

Why consider FastChat?

FastChat is an open-source platform for training, serving, and evaluating large language models written in Python by LMSYS (the creators of Chatbot Arena). It provides OpenAI-compatible REST APIs, distributed model worker clustering, and multi-model battle benchmarking.

Guided learning

Learn FastChat by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of FastChat

FastChat powers high-throughput multi-model inference backends and community LLM evaluation benchmarks.

Quickstart

bash
1pip3 install "fschat[model_worker,webui]"
2python3 -m fastchat.serve.controller

FastChat is licensed under the Apache License Version 2.0.

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FastChat FAQs

FastChat is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

FastChat is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

FastChat is listed as an alternative to vLLM. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.