Offline LLM-Based Educational App

[Yannlagaf]

Hello,

I am exploring the development of an offline educational mobile app for students in areas where data internet is not really accessible.

The app would allow students (Grade 6 to University) to download the courses of a single year.

Each pack would include a small LLM model (or adapter) that runs fully offline on mid-range Android smartphones.

Once downloaded, the app should work 100% offline (no cloud access required), with good performance and minimal latency.

i want the LLM to be able to answer questions based on the course material and help students solve exercises, with minimal to low hallucinations.

My question:

Is this technically feasible on typical mid-range smartphones used in countries where the average phone is (3-8 GB RAM, ~128-256 GB storage) ?

Which model architecture strategy (quantization, LoRA adapters, small fine-tuned model, etc.) would you recommend for this use case?

Thanks.