How to Run Open Source LLMs on Your PC Using Ollama: The South African Guide to Secure AI

AI tools are everywhere, and if you’re looking to keep your personal or business data private, hosting your own AI on your own computer might be the way to go. Let’s break it down—because, let’s face it, the last thing you want is for someone to mine your data like a tourist at the Kruger Park.

What is an LLM?

Large Language Models (LLMs) are AI systems that understand and generate human language. Think of them like clever robots that can answer questions, write content, or plan your next trip to Cape Town. They’re powered by vast amounts of data and used by companies like OpenAI, Google, and Meta.

Cloud vs Self-Hosting: What’s the Deal?

• Cloud-Based AI: Fast and scalable but your data’s doing a little travel. Think of it as sending your email to the cloud and hoping the Wi-Fi’s strong enough.
• Self-Hosting: Your data stays at home—no roaming charges. Plus, it’s more cost-effective in the long run (as long as you’ve got the hardware to handle it).

If you value privacy, control, and saving a few bucks on cloud subscriptions, hosting your own LLM is a win. But if you’ve got limited space or a busy schedule (or both), a cloud solution might be your best bet.

What Do You Need to Run an LLM?

To get this show on the road, you’ll need:

• A decent PC: At least 16GB RAM, a multi-core CPU, and ideally, a GPU (graphics card) for speed. If your computer’s from the last century, expect slow responses, like trying to get a taxi in peak hour.
• An internet connection: You’ll need it to download models.
• Patience: It’s not instant coffee, so give yourself some time.

Enter Ollama: The Local AI Buddy

Ollama is your new best mate for running LLMs. This simple tool manages everything from downloading models to running them on your computer, without needing a PhD in AI.

How to Use Ollama:

1. Install Ollama: Head to Ollama’s website and follow the instructions.
2. Download a Model: Once Ollama is installed, open your browser and type “localhost:11434” to check if it’s up and running. Then, use the command ollama run <model_name> (e.g. Llama2 or Mistral) to get your model ready.
3. Chat with Your AI: After the model is installed, you can chat to it like it’s your personal assistant. Just type in a message, and wait for the response.

Customizing Your Model

If you’re a bit of a techie (or want to pretend you are), you can “fine-tune” your LLM to make it smarter in specific areas—like helping you draft emails in Afrikaans. This requires some know-how and a solid computer, but it’s definitely doable.

Why Self-Host?

• Privacy: Your data stays where it belongs—on your machine, not some server in the cloud.
• Cost savings: Say goodbye to monthly fees. Once your hardware’s sorted, you’re good to go.
• Customisation: Tweak the AI for your needs—whether it’s for business, fun, or teaching your chatbot to tell jokes.

When to Not Self-Host?

Self-hosting isn’t always the best option. If you don’t have the right hardware, or need a model running 24/7, cloud-based AI might be your better bet. And if you can’t deal with a few technical hiccups, maybe let someone else manage your AI for you.

Conclusion

Running your own LLM with Ollama is a game-changer if you’re all about privacy, cost-efficiency, and personalisation. Sure, it requires some tech chops, but if you’re up for it, this could be your golden ticket to having AI right at your fingertips, without the data risks.

So, what are you waiting for? Grab your hardware, fire up Ollama, and take control of your AI experience! Just don’t forget to share the knowledge, and maybe pass on the tips to your neighbour who thinks they can only run an AI on their phone.

Source Info: https://www.freecodecamp.org/news/how-to-run-open-source-llms-on-your-own-computer-using-ollama/