config.py

# Import necessary libraries
import jax
import flax.linen as nn

class Config:
    def __init__(self):
        # NeuroFlex settings
        self.neuroflex_features = [64, 32, 10]
        self.use_cnn = True
        self.use_rnn = True
        self.use_gan = True
        self.fairness_constraint = 0.1
        self.use_quantum = True
        self.backend = 'jax'  # Choose from 'jax', 'tensorflow', 'pytorch'

        # JAX settings
        self.jax_seed = 42
        self.jax_precision = 'float32'

        # Flax settings
        self.flax_optimizer = 'adam'
        self.flax_learning_rate = 1e-3

        # RouteLLM and Ollama settings
        self.use_routellm = True
        self.ollama_model = 'llama2'

        # Llama3 settings
        self.use_llama3 = False
        self.llama3_model_size = 'base'  # Options: 'base', 'large', 'xl'
        self.llama3_context_length = 2048

        # Gemma2 settings
        self.use_gemma2 = False
        self.gemma2_model_size = 'base'  # Options: 'base', 'medium', 'large'
        self.gemma2_attention_heads = 12

        # Mistral3 settings
        self.use_mistral3 = False
        self.mistral3_model_size = 'small'  # Options: 'small', 'medium', 'large'
        self.mistral3_layers = 12

    def display(self):
        print("NeuroFlex Configuration:")
        print(f"Features: {self.neuroflex_features}")
        print(f"Use CNN: {self.use_cnn}")
        print(f"Use RNN: {self.use_rnn}")
        print(f"Use GAN: {self.use_gan}")
        print(f"Fairness Constraint: {self.fairness_constraint}")
        print(f"Use Quantum: {self.use_quantum}")
        print(f"Backend: {self.backend}")

        print("\nJAX Configuration:")
        print(f"Seed: {self.jax_seed}")
        print(f"Precision: {self.jax_precision}")

        print("\nFlax Configuration:")
        print(f"Optimizer: {self.flax_optimizer}")
        print(f"Learning Rate: {self.flax_learning_rate}")

        print("\nRouteLLM and Ollama Configuration:")
        print(f"Use RouteLLM: {self.use_routellm}")
        print(f"Ollama Model: {self.ollama_model}")

        print("\nLlama3 Configuration:")
        print(f"Use Llama3: {self.use_llama3}")
        print(f"Model Size: {self.llama3_model_size}")
        print(f"Context Length: {self.llama3_context_length}")

        print("\nGemma2 Configuration:")
        print(f"Use Gemma2: {self.use_gemma2}")
        print(f"Model Size: {self.gemma2_model_size}")
        print(f"Attention Heads: {self.gemma2_attention_heads}")

        print("\nMistral3 Configuration:")
        print(f"Use Mistral3: {self.use_mistral3}")
        print(f"Model Size: {self.mistral3_model_size}")
        print(f"Layers: {self.mistral3_layers}")

# Example usage
if __name__ == "__main__":
    config = Config()
    config.display()