Run Your First LLM Locally

Cloud AI services like ChatGPT and Claude are powerful, but they come with trade-offs. Running a Large Language Model (LLM) on your own machine gives you advantages that no cloud service can match:

• •Total privacy — your prompts and data never leave your device. Perfect for medical notes, legal docs, company secrets, or anything you don't want on someone else's server.
• •Zero recurring cost — once you download a model, you can use it forever with no API fees and no subscriptions.
• •Works offline — no Wi-Fi, no problem. Great for travel, air-gapped environments, or spotty connections.
• •No rate limits — send as many messages as you like, as fast as your hardware allows.
• •Full customizability — fine-tune models, swap system prompts, chain tools together — you're in control.
• •Ethical by design — your conversations never train corporate models, build behavioral profiles, or feed advertising systems. You get capable AI without trading your data for it.

The catch? You need decent hardware (especially a GPU with enough VRAM) and the models are not quite as powerful as the very best cloud offerings — yet. For most everyday tasks, though, today's open-source models are excellent.

Here's a quick checklist before you start:

Not every model runs well on every GPU. A 70-billion-parameter model will crawl on an 8 GB card, while a tiny model on a beefy GPU wastes potential. That's where LocalLLM Advisor comes in.

Tip Don't know your GPU? On Windows, open Task Manager → Performance → GPU. On Mac, click Apple menu → About This Mac — look for the chip name (e.g. “Apple M2 Pro 16 GB”).

Verify the install by typing:

ollama --version

If you see a version number, you're good to go.

With Ollama installed, running a model is a single command. Using the model name you found in Step 3:

ollama run llama3.1:8b

The first time you run this, Ollama will download the model (this may take a few minutes depending on your internet speed — models range from 4 GB to 40+ GB). After that, you'll see a prompt where you can start chatting directly in your terminal.

Try it Type something like “Explain quantum computing in simple terms” and watch the response stream in.

Sometimes you need a bigger model than your hardware can handle, or you need massive throughput for a production workload. In that case, cloud GPU providers let you rent powerful machines by the hour:

These are great for experimenting with 70B+ models or running inference at scale. But for everyday personal use, a local setup beats them on privacy, cost, and convenience.