README.md

metadata

title: FunctionGemma 270M Mobile Actions SFT
emoji: 📱
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false

FunctionGemma 270M — Mobile Actions SFT

Full fine-tune of google/functiongemma-270m-it for function calling on the google/mobile-actions dataset, using TRL's SFTTrainer (prompt/completion format, completion_only_loss=True).

Setup

1. Accept the licenses for both gated repos:
   • https://huggingface.co/google/functiongemma-270m-it
   • https://huggingface.co/datasets/google/mobile-actions
2. Add your token as a Space secret named HF_TOKEN (Settings -> Secrets).
3. Use a GPU Space (T4/L4/A10G or better). On CPU, training and scoring are slow — shrink the train/eval subsets.

Why gradio is pinned to 5.x

gradio 6.x requires huggingface_hub >= 1.2.0, but transformers==4.57.1 requires huggingface_hub < 1.0. Pinning the SDK to 5.49.1 lets pip resolve a huggingface_hub 0.x that satisfies both.