First off — confession time. This website is NOT actually about farming llamas. Sorry to disappoint anyone hoping for tips on shearing wool or building a spit-proof fence. 🙃
Here’s the gist: “Llama” in these pages is an allegory — we’re using
llamas as cute stand-ins for tech stuff. What it really means is:
LArge LAnguage Model Artificial-intelligence (LLM-AI).
That name came from Meta’s early LLM series, dubbed LLaMA
. The name
stuck around because llamas are adorable. 🪄 So rather than drab phrases like
"install your quantized model file into your runtime environment", we say
"feed hay to your llama so it doesn’t starve."
That’s the trick: metaphors make things easier to swallow. If you can picture a llama munching hay in a barn, you can picture a model file loading into your computer. 🏡🌾🖥️
Ready to begin your journey into llama husbandry (sort of)? Let’s roll. 🦙✨
Before we boot, compile, quantize, or whisper sweet nothings to GPUs, we begin with a truly advanced concept: the chair. And its natural predator: the desk. Yes, you already know this. That’s the point. We’re showing how basic we’re willing to go so nobody hears “PCIe slot” and pictures an alpaca piñata.
Once the throne and altar are in place, we proceed to actual barn-building: case, motherboard, power, and all the delicious silicon hay. But first—sit. Breathe. Touch grass (optional). Then touch desk (mandatory).
Quick heads-up before we gallop in: we’ll build two stacks. First the hardware stack (the barn, fences, and hay racks), then the software stack (the feed schedule, training whistles, and fancy llama vocabulary).
Think of it like this:
Hardware is what real llamas can chew—but please don’t let them.
Software is what our llamas will chew—and we absolutely want them to.
Up next, we build the barn from the ground up. No rush. No chaos. Plenty of hay. When you’re ready, we’ll start with the case and motherboard lanes.
Picture a tiny llama sanctuary. The case is the barn—it keeps rain out, dust bunnies away, and gives our herd proper doors and airflow lanes. Real llamas might chew on barn wood (bad idea 🫠). Our software llamas will chew on compute instead (excellent idea ✨). First we build sturdy walls; later we fill them with hay (CPU, GPU, RAM) and teach the herd to hum.