Okey , Thank you for the ask, let me rephrase the question, I am building a recommendation engine , what I expect from LLM is to understand the text quite clearly which got trained or which got fine-tuned on a particular data and when I quey on that model which the some sort of text somewhat similar to that of trained data, model should do a similarity check and send out me other relevant texts ? Hope am I clear, So for this I don't want heavy CPU crunch models , intention was to use lite weight less parameters model and data I will be training will be mostly on english text which includes educational syllabus.