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:
https://huggingface.co/phattrandeveloper/functiongemma-270m-function-calling/resolve/main/functiongemma-270m-function-calling.task
Flutter Gemma usage
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.