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---
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](https://huggingface.co/google/gemma-3-1b-it) 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](https://huggingface.co/datasets/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
```python
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](https://ai.google.dev/gemma/terms).
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