Megamind is a lightweight personal AI assistant powered by Llama 3 (8B model). It is designed to run locally on your computer using Ollama.
Megamind runs on Llama 3 (8 billion parameters). This is one of the latest open-weight large language models from Meta. It is optimized for local inference through Ollama.
This setup lets you use AI without an internet connection and keeps your data private.
This setup is for general users and developers who want reasonable speed and efficiency:
| Component | Minimum Requirement |
|---|---|
| GPU (VRAM) | 6–8 GB (e.g., NVIDIA GTX 1060 6GB or RTX 3060 Ti 8GB) |
| System RAM | 16 GB (minimum) |
| CPU | Intel Core i5/i7 or AMD Ryzen 5/7 |
| Storage | 10–20 GB of free SSD space |
Tip: Quantized models (e.g., 4-bit or 5-bit) lower VRAM usage with only a slight accuracy drop. They are ideal for laptops and mid-range desktops.
If you want to run the complete, uncompressed FP16 model:
| Component | Minimum Requirement |
|---|---|
| GPU (VRAM) | 16–20 GB (e.g., RTX 4080/4090 or Apple M3 Max) |
| System RAM | 32 GB or higher |
| Storage | 20–30 GB SSD |
If you don’t have a dedicated GPU, you can still run it completely on CPU:
| Component | Minimum Requirement |
|---|---|
| CPU | Intel Core i7 or AMD Ryzen 7 (8+ cores recommended) |
| System RAM | 16 GB (minimum) — 32 GB preferred |
| Performance | Slower inference speeds, but fully functional |
Note: For best performance, using a GPU or Apple Silicon (M1/M2/M3) is strongly recommended.
| OS | Status | Notes |
|---|---|---|
| Windows 10/11 (64-bit) | ✅ Supported | Native Ollama app available |
| macOS (Apple Silicon or Intel) | ✅ Supported | Runs efficiently on M1/M2/M3 chips |
| Linux (Ubuntu/Debian/Fedora) | ✅ Supported | CLI-based installation; same commands apply |
Step 1: Install Ollama
Download and install Ollama from the official site: 👉 https://ollama.ai/download
Choose the version for your operating system (Windows, macOS, or Linux). For Windows users, simply run the downloaded installer and follow the on-screen setup instructions.
Step 2: Verify Installation
After installation, open your terminal (or Command Prompt on Windows) and check:
ollama --version
If a version number appears, it means Ollama has been successfully installed and is ready to use.
Step 3: Pull the Llama 3 Model
Next, download the Llama 3 (8B) model by running:
ollama pull llama3:8b
This will download the model files and prepare them for local inference.
Step 4: Run the Model Locally
Once the model is downloaded, you can start using it directly on your machine:
ollama run llama3:8b
After running this command, Ollama will launch the Llama 3 (8B) model locally. You can now chat, test prompts, or integrate it with your local applications — all without needing an internet connection.
