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How to Install Ornith 1.5 Locally with Ollama and VS Code

Want to run Ornith 1.5 locally for coding? In this tutorial, learn how to install Ollama, download and run Ornith 1.5, connect a local AI model to Visual Studio Code, and test it as an AI-assisted coding tool.

🚀 What You'll Learn

Install Ollama on your computer.
Download and run Ornith 1.5 locally.
Choose a model size that suits your hardware.
Connect your local model to VS Code.
Test coding questions and code explanations.
Explore a local AI-assisted coding workflow.

📥 Step 1: Install Ollama

Ollama makes it possible to download and run supported AI models on your own computer. Visit the official website, download the installer for your operating system, and follow the installation instructions.

Download Ollama

🤖 Step 2: Download and Run Ornith 1.5

Open your terminal or Command Prompt after installing Ollama. The following command downloads and starts the 9B version of Ornith 1.5:

ollama run ornith-1.5:9b

The first run downloads the model files, so download time and storage requirements depend on your internet connection and available disk space.

The 9B model download is listed at approximately 6.6 GB. Larger variants require considerably more storage and memory. Actual performance depends on your hardware and settings.

View Ornith 1.5 on the official Ollama Library

💻 Step 3: Test the Model

When the model starts, try a few simple coding tasks to check that it responds correctly. For example, ask it to:

Explain a short Python or JavaScript function.
Find a bug in a small code example.
Write a basic function with clear requirements.
Suggest unit tests for an existing function.

Review generated code before using it in a real project. Test important changes and keep a backup or version-control checkpoint before making significant edits.

🧩 Step 4: Connect Ollama to VS Code

Install the official Ollama extension from the Visual Studio Code Marketplace. Make sure Ollama is running and that your Ornith model has downloaded successfully.

Open Visual Studio Code.
Install the Ollama extension.
Open the Chat interface in VS Code.
Open the model picker and look for your available Ollama model.
Select the model and try a coding question.

The official extension discovers local models through Ollama's local service, normally at http://127.0.0.1:11434. Extension features and requirements can vary by VS Code version.

Get the Ollama extension for VS Code

Read the official VS Code integration guide

🛠️ Troubleshooting

Model Not Found

Check the model name and run ollama list to see which models are installed. If needed, run the download command again using the model name from the official library.

Model Does Not Appear in VS Code

Make sure Ollama is running and the model is installed. Refresh the model list using the Ollama extension's available commands, then reopen the model picker.

Slow Responses or High Memory Usage

Close unnecessary applications, check available RAM and GPU memory, and consider a smaller model variant if your hardware struggles to run the model.

🔒 Why Run a Local AI Coding Model?

Run supported model inference on your own computer.
Reduce dependence on paid cloud inference APIs for local tasks.
Experiment with AI coding tools using your own projects.
Keep prompts and code within your local setup when using a genuinely local workflow.

Remember that downloading a model requires an internet connection. VS Code extensions and other connected services may also use network access, depending on the features you enable.

🎬 Watch the Full Tutorial

Watch the video above for a practical walkthrough of installing Ornith 1.5 with Ollama, connecting it to VS Code, and testing it on coding tasks.

▶ Watch on YouTube

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💬 Support Unreal Fusion

If this tutorial helped you, leave a comment, like the video, subscribe to Unreal Fusion, and turn on notifications for more tutorials about local AI, Ollama, VS Code, coding assistants, and AI development tools.

⚠️ Disclaimer

This article is for educational purposes. Model availability, hardware requirements, and software features may change. AI-generated code can contain errors and should be reviewed and tested before use. Ornith, Ollama, and Visual Studio Code are third-party projects; this article is not an official publication of those projects.

#Ornith15 #Ollama #VSCode #LocalAI #AICoding #CodingAssistant #AI

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How to Install Ornith 1.5 Locally with Ollama & VS Code