How to run LLMs Locally...

Imagine building a privacy-first chatbot for sensitive data, or a disconnected AI toolkit for remote work. This isn’t just coding—it’s unlocking a new tier of AI autonomy.

Today we run large language models (LLMs) directly on your machine—no API fees, no latency, and full control over your data.

In today’s video, I’ll show you:

1. Chatbot Mode: Turn your computer into a self-hosted ChatGPT clone.

2. API Integration: Generate tweets, analyze text, or automate tasks—all via local API calls.

Why run LLMs locally in the first place?

• Privacy First: Your data never leaves your machine.

• Zero Latency: Skip the cloud—responses at lightning speed.

• Cost Efficiency: Ditch API fees. Only pay for hardware once.

• Flexibility: Swap models like Lego blocks (7B parameters? 20B? Your call).

It’s actually much easier to get started than you think… simply:

1. Install Ollama

2. Pull Your Model, e.g. DeepSeek

3. Then Run Chat or Integrate with Ollama’s API endpoint

Prefer a hands-on walkthrough? Check the video below

Pro Tips

• Hardware Hacks: Run Tiny LLaMA on a Raspberry Pi 5 or older GPUs.

• Customize Outputs: Use temperature and top_p settings to tweak creativity vs. accuracy.

• Combine Models: Use DeepSeek for complex reasoning and Tiny LLaMA for quick tasks.

Luke