Add Flutter Gemma conversion notes

flutter_gemma/README.md

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+# 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.