MobileLLM: Optimizing Sub-Billion Parameter Language Models for On-Device Use
The GitHub repository contains MobileLLM code optimized for sub-billion parameter language models for on-device applications. It includes design considerations, code guidelines, outcomes on common sense reasoning tasks, acknowledgements, and licensing details. Contact repository individuals for support.
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The GitHub repository at the provided URL pertains to MobileLLM, focusing on training code optimized for sub-billion parameter language models for on-device applications. It covers design considerations, citations, code execution guidelines, outcomes on zero-shot common sense reasoning tasks, acknowledgements, contact details, and licensing specifics. For additional information or support regarding this repository, users are encouraged to contact the listed individuals within the repository.
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16 commentsSmall models, slightly improved, probably still not good enough for the same use as online models. Nothing wrong with incremental progress, however.
1.5B parameter model does seem to be a pretty decent step up, even beating larger models by a wide margin. I'm not sure why they didn't go larger -- having a more efficient model that fits on hardware the size of the RPi could be a gamechanger (IIRC TinyLlama 7B does run, barely).
Even better if it could be tuned in someway to allow dialogue to influence NPC behavior or actions.
Optimizing and loading in your own voice, selecting your primary language and adding a little bit of personal knowledge like nicknames, location and stuff?
My pixel 8 apparently can use / load local models but don't have the time right now to follow that rabbit hole
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