🚀 Power Up Your Local AI Development with Bolt.new and Ollama

Harness the power of AI locally! This resource helps you integrate Ollama with Bolt.new, enabling offline AI-powered application development right on your computer. No more reliance on cloud services – build apps anytime, anywhere. 💡

1. Setting Up Your Local AI Powerhouse 🏠

Want to build apps offline with the magic of AI? This section guides you through setting up Ollama and Bolt.new on your local machine. It’s like having your own personal AI assistant, always ready to help. 🤖

Installing Ollama: Your AI Engine

1. Download and install Ollama: Head over to Ollama’s website and download the latest version for your operating system. This is the core of your local AI setup.
2. Pull the Qwen Model: Open your terminal and run ol pull qwen-2.5-coder. This downloads the Qwen 2.5 Coder model, a powerful language model for code generation.
3. Configure the Model: Create a file named model (no extension) and add the following lines:
   
from: qwen-2.5-coder-7b
parameters:
context-length: 32000

   This sets the context length to 32,000 tokens, crucial for Bolt.new’s operation. Think of context length as the model’s memory – the larger it is, the more information it can retain.
4. Create the Ollama Model: In your terminal, run ol create -f model qwen-2.5-large-7b. This creates the model instance that Bolt.new will use.

Pro Tip: Experiment with different Ollama models to find the best fit for your projects!

2. Unleashing Bolt.new: Your App Creation Wizard 🧙‍♂️

Bolt.new is your command center for building apps with AI. This section shows you how to set it up and connect it to your local Ollama instance. Prepare to be amazed! ✨

Running Bolt.new with Docker

1. Install Docker: If you haven’t already, download and install Docker Desktop. Docker makes it easy to run applications in isolated containers.
2. Clone the Repository: Clone the forked Bolt.new repository that supports Ollama. The exact command will be provided in the resource toolbox.
3. Start Bolt.new: Navigate to the cloned repository in your terminal and run docker compose profile development up. This starts Bolt.new in development mode.
4. Access Bolt.new: Open your web browser and go to http://localhost:5173. You should see the Bolt.new interface, ready to build your next app!

Pro Tip: Docker can be resource-intensive. Ensure your system meets the requirements for smooth operation.

3. Building Your First AI-Powered App 🛠️

Now for the fun part! Let’s create a simple application using Bolt.new and your local Ollama model. Get ready to witness the power of AI-driven development. 🚀

Creating a To-Do App

1. Select Ollama: In the Bolt.new interface, choose Ollama as your AI model provider.
2. Choose Your Model: Select the qwen-2.5-large-7b model you created earlier.
3. Enter Your Prompt: Type “Create a to-do app in React using Tailwind CSS” and hit enter. Watch as Bolt.new generates the code, installs dependencies, and even previews the app!

Pro Tip: Be specific with your prompts! The clearer your instructions, the better the results.

4. Understanding Local Model Limitations ⚠️

Local models, while powerful, have limitations compared to their cloud-based counterparts. This section explores these differences and offers strategies to overcome them. Knowledge is power! 💪

Context Length and Model Capabilities

Local models often have smaller context lengths than cloud models like ChatGPT or Claude. This can limit their ability to handle complex applications or understand nuanced instructions. Be mindful of this when designing your apps.

Pro Tip: Break down complex tasks into smaller, more manageable prompts to maximize the effectiveness of your local model.

5. Resource Toolbox 🧰

• Ollama: https://ollama.com – Download and install Ollama to run language models locally.
• Docker Desktop: https://www.docker.com/products/docker-desktop – Use Docker to containerize and run Bolt.new.
• Forked Bolt.new Repository: [Provide URL here] – The modified Bolt.new repository that integrates with Ollama.
• Bolt.new Documentation: [Provide URL if available] – Learn more about Bolt.new and its features.
• Qwen Model Information: [Provide URL if available] – Explore the capabilities of the Qwen 2.5 Coder model.

Empower your development workflow with the combined strength of Bolt.new and Ollama. Build amazing applications offline, explore the potential of local AI, and take control of your development journey! 🎉