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README.md

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+# ML Models Directory
+
+Place the following TFLite models in this directory:
+
+1. `gemma.tflite` - Gemma 2B model for text conversations
+2. `fastspeech2.tflite` - FastSpeech 2 model for speech synthesis
+3. `mobilenet_v2.tflite` - MobileNetV2 model for visual processing
+
+## Model Specifications
+
+### Gemma 2B
+- Input: Text tokens (max length 512)
+- Output: Text generation
+- Size: ~2GB
+
+### FastSpeech 2
+- Input: Text sequence
+- Output: Mel spectrogram for voice synthesis
+- Features: Male/female voice options
+
+### MobileNetV2
+- Input: 224x224 RGB image
+- Output: 1000-class classification
+- Features: Optimized for mobile devices

fastspeech_quant.tflite

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+size 31015952

gemma2b.tflite

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+size 2709032880

mobilenetv2.tflite

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+oid sha256:9f3bc29e38e90842a852bfed957dbf5e36f2d97a91dd17736b1e5c0aca8d3303
+size 13978596

mobilenetv3.tflite

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+oid sha256:528c823ae40b83c87de9a69cc207e9995ac103f6718ff4b888497be11e2ea1ff
+size 16007304

tokenizer.model

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+oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
+size 4241003