File size: 1,609 Bytes
3fcecd0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | # functiongemma-270m-function-calling for Flutter Gemma
MediaPipe `.task` conversion of `phattrandeveloper/functiongemma-270m-function-calling` for `flutter_gemma` mobile inference.
## Artifact
- Task bundle: `functiongemma-270m-function-calling.task`
- Flutter Gemma file type: `ModelFileType.task`
- Flutter Gemma model type: `ModelType.functionGemma`
- Quantization: `dynamic_int8`
- Prefill sequence length: `2048`
- KV cache max length: `4096`
- Prompt template embedded: `False`
- SHA-256: `068757b3c6fe9ec8182fe11c2eb612423a0d77ff42cae20142476aff10f99820`
Download URL:
```text
https://huggingface.co/phattrandeveloper/functiongemma-270m-function-calling/resolve/main/functiongemma-270m-function-calling.task
```
## Flutter Gemma usage
```dart
await FlutterGemma.installModel(modelType: ModelType.functionGemma)
.fromNetwork('https://huggingface.co/phattrandeveloper/functiongemma-270m-function-calling/resolve/main/functiongemma-270m-function-calling.task')
.install();
```
Use the banking tool schema and `systemInstruction` from this project when creating the chat.
## Conversion references
- Google Gemma HF SafeTensors to MediaPipe Task guide: https://ai.google.dev/gemma/docs/conversions/hf-to-mediapipe-task
- Google MediaPipe LLM Inference guide: https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference
- Flutter Gemma docs: https://pub.dev/packages/flutter_gemma
## License
This converted artifact follows the license and use restrictions of the source Gemma/FunctionGemma model. Review the source model card and Gemma terms before redistribution or production use.
|