| # functiongemma-270m-function-calling for Flutter Gemma |
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| MediaPipe `.task` conversion of `phattrandeveloper/functiongemma-270m-function-calling` for `flutter_gemma` mobile inference. |
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| ## Artifact |
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| - 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` |
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| Download URL: |
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| ```text |
| https://huggingface.co/phattrandeveloper/functiongemma-270m-function-calling/resolve/main/functiongemma-270m-function-calling.task |
| ``` |
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| ## Flutter Gemma usage |
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| ```dart |
| await FlutterGemma.installModel(modelType: ModelType.functionGemma) |
| .fromNetwork('https://huggingface.co/phattrandeveloper/functiongemma-270m-function-calling/resolve/main/functiongemma-270m-function-calling.task') |
| .install(); |
| ``` |
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| Use the banking tool schema and `systemInstruction` from this project when creating the chat. |
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| ## Conversion references |
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| - 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 |
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| ## License |
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| 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. |
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