FastChat

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FastChat is an open platform for training, serving, and evaluating large language model-based chatbots. It powers Chatbot Arena, serving millions of chat requests and compiling an LLM Elo leaderboard.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is FastChat?

FastChat provides an open platform for the entire lifecycle of large language models, from training and serving to comprehensive evaluation. It is the technology behind Chatbot Arena, a popular platform that has processed over 10 million chat requests for more than 70 LLMs and collected over 1.5 million human votes to create an online LLM Elo leaderboard. Key features include training and evaluation code for state-of-the-art models like Vicuna and MT-Bench, alongside a distributed multi-model serving system with a web UI and OpenAI-compatible RESTful APIs. FastChat supports a wide range of models and offers flexible deployment options, including single GPU, multiple GPUs, CPU-only, and specialized hardware like Apple Silicon's Metal backend and Intel XPUs.

Best used for

Ideal for developers and data scientists who need to train, serve, and evaluate large language models, deploy custom chatbots, and benchmark LLM performance. Especially valuable for those seeking an open-source platform with OpenAI-compatible APIs and flexible hardware support.

Common actions

deploy LLMs

evaluate LLMs

train chatbots

serve AI models

benchmark language models

open-sourceworkflowslow-code/no-codeautomated workflowcollaborationdeepfakegithub copilotface swapping"AI Agents"

Capabilities

Key features

Train large language models
Serve large language models
Evaluate large language models
OpenAI-compatible APIs
Distributed multi-model serving
Web UI for chatbots
Support various hardware

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What models does FastChat support for inference?

FastChat supports a wide array of models including LLama 2, Vicuna, Alpaca, Baize, ChatGLM, Dolly, Falcon, and many others. It also provides instructions for adding new models, ensuring broad compatibility for various large language models.

Can FastChat run on consumer-grade hardware?

Yes, FastChat is designed to run on various hardware configurations. It supports single GPU setups (e.g., Vicuna-13B on 16GB VRAM with 8-bit compression), multiple GPUs, CPU-only, Apple Silicon (Metal backend), Intel XPUs, and Ascend NPUs, making it accessible for different users.

Does FastChat offer an API for integration?

FastChat provides OpenAI-compatible RESTful APIs, allowing it to serve as a local drop-in replacement for OpenAI APIs. This enables seamless integration with existing applications and libraries that are designed to work with OpenAI's API structure.

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