Lion Cipher Lab
Compare two local models to pick the right one for your task
- AI Security
- Beginner
- ~40 min
- Free · no account required
Why it matters
Once you can run a model locally, the next real decision is which model to keep, and the loudest advice — "run the biggest one that fits" — is often wrong. A larger model usually answers better but also runs slower and eats more memory, and for the specific job in front of you a small, fast model may be more than good enough. The people who choose well do not guess and they do not go by a single lucky reply; they put candidates on the same prompts and weigh quality against speed and cost. Learning to run that small, honest comparison on your own machine, offline, is the difference between…
What you'll learn
- comparing local models
- building a fixed prompt set
- writing a scoring rubric
- blind-ish scoring
- measuring latency and memory
- choosing a model for a task
Steps in this lab
- The trap: bigger is not automatically better for you
- Pull two models: a small one and a larger one
- Build a small fixed prompt set of tasks that matter to you
- Write a rubric and score blind-ish
- Run the prompt set through the first model, timed
- Run the identical prompt set through the second model
- Judge on quality, speed, and memory — and know the limits
- What you can now do that most people can't