Skip to content

Latest commit

 

History

History

FastChat

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 
 
 
 
 
 
 
 
 

FastChat On the Akash Network

The oringinal repo is here: https://github.com/lm-sys/FastChat

FastChat is an open platform for training, serving, and evaluating large language model based chatbots. The core features include:

  • The weights, training code, and evaluation code for state-of-the-art models (e.g., Vicuna, FastChat-T5).
  • A distributed multi-model serving system with web UI and OpenAI-compatible RESTful APIs.

Web UI

image

Demo Video

46c661b0ac8d530959e728781a073f44_0_1688621579.mp4

News

  • [2023/06] 🔥 We introduced LongChat, our long-context chatbots and evaluation tools. Check out the blog post and code.
  • [2023/05] We introduced Chatbot Arena for battles among LLMs. Check out the blog post and demo.
  • [2023/04] We released FastChat-T5 compatible with commercial usage. Check out the weights and demo.
  • [2023/03] We released Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90% ChatGPT Quality. Check out the blog post and demo.

Contents

Install

Method 1: With pip

pip3 install fschat

Method 2: From source

  1. Clone this repository and navigate to the FastChat folder
git clone https://github.com/lm-sys/FastChat.git
cd FastChat

If you are running on Mac:

brew install rust cmake
  1. Install Package
pip3 install --upgrade pip  # enable PEP 660 support
pip3 install -e .