I'm also learning. The models get more accurate when they have more parameters, say 7b (7 billion parameters) vs 8x7b (56 billion parameters). They also take more time and resources at higher parameters. TheBloke at Huggingface uploads quantized models, which means they can run on lower spec computers but with a possible hit on quality, he offers multiple configurations per model depending on what you prefer. Big models can be too heavy and slow, the sweet spot is probably something like 13b. You can try different gguf models with this program: https://github.com/madprops/meltdown