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FastChat is an open-source AI chatbot platform that enables users to interact with large language models like Vicuna, Alpaca, and LLaMA for research and experimentation.

Last Update: 2026-02-26

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Tool Information

FastChat is a research-focused AI chatbot platform designed to provide access to open large language models through a conversational interface. Users can engage with models such as Vicuna, Alpaca, and LLaMA, enabling experimentation with natural language processing and generative AI capabilities. Built for non-commercial research purposes, FastChat offers developers and AI enthusiasts a practical environment to explore model behavior, response quality, and conversational performance.

Developed using Gradio, FastChat features a web-based interface optimized for desktop use, ensuring smoother interactions and improved response rendering compared to mobile devices. The platform provides access to its open-source code repository on GitHub, allowing developers to customize, deploy, and extend the chatbot according to their specific needs. This flexibility makes it suitable for AI research, model fine-tuning experiments, and educational demonstrations.

 

As a research preview, FastChat includes limited safety moderation and requires users to adhere to its terms of use. A built-in reporting mechanism enables users to flag inappropriate or harmful content, supporting ongoing improvement and responsible experimentation. By offering accessible interaction with open language models and maintaining transparency through open-source development, FastChat serves as a valuable AI chatbot testing and research platform for the broader machine learning community.

F.A.Q (20)

FastChat is an AI-powered chatbot tool that allows users to engage with open large language models for research purposes.

The three language models available in FastChat are Vicuna, Alpaca, and LLaMA.

Vicuna is considered the most performant language model in FastChat as it has been fine-tuned from LLaMA on user-shared conversations, leading to high performance according to the developers' evaluation.

Yes, FastChat is free to use. It is a research preview intended for non-commercial use only.

No, you cannot use FastChat for commercial purposes. Its use is strictly intended for non-commercial, research purposes.

FastChat implements limited safety measures to prevent offensive content generation. However, it may still generate offensive content. Users are given a flag button to report any inappropriate content they encounter.

If you encounter inappropriate content on FastChat, you should use the 'flag' button to report it to the developers.

FastChat is best used on desktop computers as mobile devices may compromise the quality of the tool due to technical limitations.

Gradio is a Python library for easy interface and app creation and FastChat is built with it, allowing developers to create, customize, and deploy the AI chatbot tool.

Yes, you can access FastChat's Github code repository. The code is publicly available for developers to customize and implement the tool.

FastChat can be used for any research that involves open large language models, including but not limited to language understanding, human-computer interaction, and linguistics.

In the context of FastChat, 'Vicuna' is one of the language models users can choose to chat with. It is fine-tuned from LLaMA based on user-shared conversations and is expected to perform best according to the developers' evaluation.

Vicuna differs from Alpaca and LLaMA in FastChat by the data it was trained on. While Alpaca is fine-tuned on 52K instruction-following demonstrations, Vicuna is fine-tuned from LLaMA on user-shared conversations.

Yes, FastChat may collect user dialogue data for future research.

You should agree to the terms of use before using FastChat to acknowledge and accept the tool's limitations and data collection policy.

When inappropriate content is flagged in FastChat, the developers collect those instances to keep improving their moderation systems.

Developers can customize FastChat by utilizing its publicly available code repository on Github. They can adjust existing parameters or incorporate new features to better align the tool with their specific use cases.

Mobile devices may compromise the quality of FastChat due to their smaller screen sizes and potentially slower processing capabilities. The tool is optimized for use on desktop computers for optimal performance and user experience.

The potential limitations in terms of use of FastChat include its non-commercial usage policy, the possibility of encountering offensive content despite limited safety measures, and the collection of user dialogue data for future research.

FastChat is subject to LLaMA's model License. This means that the usage and limitations of the LLAMA model, which are stated in its license, apply to FastChat as well.

Pros and Cons

Pros

  • Three model choice
  • Vicuna is top-performing
  • For research purposes
  • Important content flagging
  • Desktop optimized
  • Open-source via Github
  • Gradio built
  • Perfect for chat research
  • Non-commercial use
  • Clear terms of use
  • Dialogue data collection
  • Model performance evaluation info
  • Queue system for usage
  • Customizable from code repository

Cons

  • Non-commercial use only
  • Limited safety measures
  • Risk of offensive content
  • Optimized for desktop use
  • Data collection policy
  • May compromise quality on mobile
  • Inappropriate content report required

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Applicable Tasks

open-source AI chatbot large language model interface Vicuna AI chat tool Alpaca language model platform LLaMA chatbot interface research AI chatbot tool Gradio-based AI app open LLM experimentation platform AI model testing environment GitHub AI chatbot project

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