Run any model from Hugging Face, and rent a GPU when you need more
Hugging Face has a million open models and most guides assume you already know which ones your computer can actually handle. You don't need to guess. Learn to read your own hardware, pick a model and a size that fits it, install it in one command, and when a model is too big for your machine, rent a proper GPU by the hour for a few pounds instead of buying one for thousands.
- How to read a model card for the licence, the format and the right file to download
- When and how to rent a GPU on RunPod (and the money traps that catch everyone the first time)
- A computer you can install software on. A GPU helps but isn't required to start
- A free Hugging Face ↗ account (needed for gated models like Llama, and for the CLI)
- Comfort with a terminal. If it's new, do Terminal survival kit first
- A RunPod account only for the cloud section, and only if a model won't fit on your machine
The plan: local first, cloud only when you have to
Know the order of operations so you don't rent a GPU you didn't need, or download a model that can't load.
Running open models is mostly one skill with two homes. The skill is matching a model to the memory you have. The homes are your own machine (free, private, limited by your hardware) and a rented GPU (cheap by the hour, as big as you like, someone else's computer).
The order that saves you time and money:
- Read your hardware so you know your ceiling before you download anything.
- Pick a model and a size that fits under that ceiling.
- Install and run it locally in one or two commands.
- Only when a model is too big or too slow, rent a GPU on RunPod and run the exact same way, with far more memory.
Nearly everyone gets this backwards: they download a 40GB model onto an 8GB laptop, watch it fail, and give up. By the end of this mission you'll know in ten seconds whether something will run before you spend a minute downloading it.
TipOpen models aren't all free to use commercially. Licences live on the model's page and range from fully open (Apache 2.0, MIT) to custom (Llama's community licence) to research-only. We check the licence in step 4, before you build anything on top of a model.