Commit History
27 days ago
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feat(tflite): integrate medgemma_micro_cardio_350m model and M2 testing dashboard
- Track all .tflite and *knowledge_base_350m.json artifacts with Git LFS (.gitattributes) - Add android_export deployment suite with 301.93 MB unified model, Kotlin runtime manager, and integration guides - Add LiteRT XNNPACK delegate CPU acceleration for Apple Silicon M2 in app.py - Add dual-engine model switcher between TFLite 350M and PyTorch Edge in dashboard UI - Add M2 automated benchmark suite modal and /api/tflite/benchmark endpoint - Implement hybrid dense 768-D semantic and lexical retrieval across 1,552 clinical guidelines - Update test_interface.py and test_unified_350m_model.py test suites63139fb
