>>538183918
It's the amount of parameters that the model is trained on, think of parameters like it's knowledge without context. Large models like Claude, Gemini, etc. all have trillions of them. The smaller Gemma model has 270 million parameters and is basically functionally retarded without giving it proper context. 4b has some knowledge but it's still kind of stupid. The nice part about smaller models is that they are fast and are still able to do interpret natural language well despite being wrong if you don't feed it some external information first.
