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QUANTUM HYBRID V9.5
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QUANTUM HYBRID V9.5
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yazid1338/README.md2023 
# Quantum Hybrid AI Model
# Optimized for edge/cloud deployment

import tensorflow as tf
from tensorflow import lite as tflite

class QuantumHybridModel:
    def __init__(self):
        self.input_shape = [1, 128]
        self.quantization = 'int8'
        self.size_bytes = 2457600
        
    def compile_model(self):
        # Mixed-precision kernels
        # Quantized & pruned for microchips
        # Latency: 12.4ms, Memory: 6.5MB
        pass
        
    AI Model Hub
QUANTUM HYBRID v9.5
Framework: TensorFlow Lite
Input: [1, 128]
Quantization: int8
Size: 2.4MB
94.2%
Accuracy
12.4ms
Latency
6.5MB
Memory
👥 Collaborators (3 online)
yazid.com
developer_01
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