How to Use Bolt.new for FREE with Local LLMs (And NO Rate Limits)

Introduction

This tutorial is designed to guide you through using oTToDev, a fork of Bolt.new, for integrating local language models (LLMs) like those from Ollama. You'll learn how to set it up without rate limits, explore essential tips, and discover the best open-source LLM for coding applications. This information is particularly useful for developers looking to leverage AI coding assistants effectively.

Step 1: Getting Started with oTToDev

1. Clone the Repository

   • Visit the oTToDev GitHub page: oTToDev GitHub.
   • Clone the repository to your local machine using:

     git clone https://github.com/coleam00/bolt.new-any-llm.git
     

2. Install Dependencies

   • Navigate into the cloned directory:

     cd bolt.new-any-llm
     

   • Install any required dependencies, which may include Python libraries or packages specified in a requirements.txt file.

3. Set Up Your Environment

   • Ensure that you have the necessary environment variables set up for your LLMs, including paths or API keys if required.

Step 2: Addressing Ollama's Limitations

1. Identify the Issue

   • Understand that Ollama may have limitations in terms of performance or compatibility when used with certain configurations.

2. Apply Fixes

   • Check the README file in the oTToDev repository for any documented solutions to known Ollama issues.
   • Implement necessary changes by modifying configuration files or scripts as suggested.

Step 3: Selecting Your LLM

1. Choose an Open Source LLM

   • Consider using models like GPT-J or LLaMA, which are popular for coding tasks.
   • Research the capabilities and performance of different models to find the one that best suits your needs.

2. Integrate Your LLM

   • Follow specific instructions in the oTToDev documentation to integrate your chosen LLM.
   • Ensure that your LLM is correctly configured to work with the oTToDev interface.

Step 4: Building an Application

1. Plan Your Application

   • Define the purpose and functionality of your application, outlining the features you want to implement.

2. Utilize the Provided Prompts

   • Access the prompts used in the video through this link: Prompts Document.
   • Customize these prompts to fit your application’s specific needs.

3. Develop Your Application

   • Start coding your application using the chosen LLM to handle tasks such as code generation or troubleshooting.
   • Test your application thoroughly to ensure it performs as expected.

Conclusion

In this tutorial, you learned how to set up and use oTToDev with local LLMs, address common limitations, select the right LLM for your needs, and begin building your application. For further learning, consider joining the upcoming livestream on November 10th at 7:00 PM CDT for more insights and detailed discussions. Happy coding!