Gemma 4 e2b and e4b are designed to work on phones.
LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
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I actually (just last night) abliterated a Qwen3.5-2B for this sort of purpose (well, more specifically, to fit neatly into a socket for a project). It's fast and light polaris-heretic-Q4_K_M-GGUF
Try it and see if it works? I inadvertently made it really fucking love dotpoints (GPT-OSS 20B disease) so am trying to unfuck it right now.
Else - I can recommend something like Granite-4H or the old Qwen3-4B 2507 instruct
Thanks! I can't wait to try them. Though what differences do you find between Granite-4H and Qwen3-4B 2507?