metadata
license: gemma
library_name: transformers
tags:
- function-calling
- tool-use
- mobile
- gemma
- unsloth
- fine-tuned
base_model: google/gemma-3-1b-it
datasets:
- google/mobile-actions
pipeline_tag: text-generation
language:
- en
FunctionGemma Mobile Actions v6
A fine-tuned version of FunctionGemma 270M optimized for mobile device function calling. This model excels at understanding natural language commands and mapping them to structured function calls for common mobile actions.
Model Description
- Base Model: google/gemma-3-1b-it (270M parameters)
- Fine-tuning Method: LoRA (r=128, alpha=128)
- Training Data: google/mobile-actions + synthetic augmentation
- Optimized For: Mobile assistant function calling
Supported Functions
| Function | Description | Example Input |
|---|---|---|
set_alarm |
Set alarms | "Wake me up at 7am" |
create_reminder |
Create reminders | "Remind me to buy milk" |
set_timer |
Set countdown timers | "Timer for 10 minutes" |
make_call |
Make phone calls | "Call Mom" |
send_message |
Send text messages | "Text John I'm running late" |
create_calendar_event |
Schedule events | "Schedule meeting at 3pm" |
play_music |
Play music | "Play some jazz" |
get_weather |
Get weather info | "What's the weather like?" |
open_app |
Open applications | "Open the camera" |
navigate |
Get directions | "Navigate to the airport" |
set_volume |
Adjust volume | "Turn the volume up" |
calculator |
Math calculations | "What's 15 times 23?" |
Usage
from vllm import LLM, SamplingParams
llm = LLM(model="essobi/functiongemma-mobile-actions-v6-16bit", trust_remote_code=True)
# See full documentation for prompt format and tool definitions
Output Format
<start_function_call>call:function_name{param1:<escape>value1<escape>,param2:<escape>value2<escape>}<end_function_call>
License
This model is released under the Gemma License.