Gemma 3:270
https://ollama.com/library/gemma3 ollama pull gemma3:270m compare the size to the other versions: here's a news article doing an analysis for you - saves me repeating it: https://www.theregister.com/2025/08/15/little_llm_on_the_ram/ 270million parameters, but only taking up 550MB of RAM. That is what makes this special. On very low compute devices, Raspberry Pi, Jetson, low-spec laptops, this model can perform VERY well. I hear you say, "yes, but it might be performant and small, but it won't be able to do what I want it to do" Well, maybe you should go take a look at this article: https://ai.google.dev/gemma/docs/core/huggingface_text_full_finetune What is that? it's the instructions on how to enhance / extend the model to be specifically knowledgeable about YOUR specific SME subject. Yup, you can get all the specific knowledge that you want to train the model on & here are the instructions on how to then teach this tiny little pocket-rock...