Function Gemma is a Google trained light-wight model with 270M parameters to enables users to make connection between their prompt and executive actions.
You can find another variant of the model fine-tuned by Google over (google/mobile-actions)[
https://huggingface.co/datasets/google/mobile-actions] here:
litert-community/FunctionGemma_270M_Mobile_Actions.
You can also use this FunctionGemma-270m-it-Extended-Mobile-Actions model variation fine-tuned over extended Mobile Actions tools set dataset in
AliRGHZ/Mobile-Actions.
For deploying the model into your application, kindly follow the instructions available
here.
For further fine-tuning you can follow the instructions suggested by Google...
###Training Infrastructure:
Hardware: Google Colab A100 GPU
Training time: ~24 minutes for 2 epochs
Library versions: transformers==5.2.0 torch==2.10.0 huggingface_hub==1.5.0, trl==0.29.0, accelerate==1.13.0
