| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.59 kB xet | e5d4ca2e | |
| README.md | 4.29 kB xet | 835c1893 | |
| mobile_actions_q8_ekv1024.litertlm | 289 MB xet | 16c70412 |
litert-community/functiongemma-270m-ft-mobile-actions
Main Model Card: google/functiongemma-270m-it
This model card provides the Mobile Actions model that is ready for deployment on the Google AI Edge Gallery app.
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. This particular Gemma model is especially small so it is ideal for on-device use cases. By running this model on device, users can have private access to Generative AI technology without even requiring an internet connection.
Try it live
The Mobile Actions model is a finetune of google/functiongemma-270m-it. To try out Mobile Actions, download the Google AI Edge Gallery app on your phone, open the Mobile Actions panel and tap the download button.
Performance
Android
Benchmarked on S25 Ultra with 512 prefill tokens and 256 decode tokens.
| Backend | Quantization scheme | Context length | Prefill (tokens/sec) | Decode (tokens/sec) | Time-to-first-token | Model size (MB) | Peak RSS Memory (MB) |
|---|---|---|---|---|---|---|---|
CPU |
dynamic_int8 |
1024 |
2238 tk/s |
154.2 tk/s |
0.24 s |
289 MB |
510 MB |
Notes:
- Model Size: measured by the size of the file on disk.
- The inference on CPU is accelerated via the LiteRT XNNPACK delegate with 4 threads
- Benchmark is run with cache enabled and initialized. During the first run, the latency and memory usage may differ.
- Total size
- 289 MB
- Files
- 3
- Last updated
- May 24
- Pre-warmed CDN
- US EU US EU