config.json

{
  "model_type": "seq2seq",
  "model_name": "Or4cl3-1/Daedalus_1: The Forge of Visionary Innovation",
  "description": "A cutting-edge AI model blending CodeBERT, Codex, T5, SAM, Gemini, and Megatron for transformative innovation.",
  "version": "1.0",
  "author": "Or4cl3 AI Solutions",
  "framework": "PyTorch",
  "python_version": "3.x",
  "deep_learning_framework": "PyTorch",
  "constituent_models": [
    {
      "name": "Or4cl3-1/code-slerp",
      "description": "Empowers Daedalus_1 with expertise in software engineering, code generation, and task-oriented language understanding."
    },
    {
      "name": "Or4cl3-1/SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp",
      "description": "Provides Daedalus_1 with a deep, multifaceted understanding of complex concepts, human-like reasoning, and creativity."
    }
  ],
  "architectural_design": {
    "merge_method": "SLERP (Spherical Linear Interpolation)",
    "selected_layers": 32
  },
  "capabilities": [
    "Rapid Prototyping and Code Generation",
    "Multidisciplinary Understanding",
    "Adaptability and Continuous Improvement",
    "Ethical Considerations"
  ],
  "applications": [
    "Software Development",
    "Scientific Research",
    "Creative Problem-Solving"
  ],
  "training_data": "Internal and External Datasets",
  "training_steps": 200000,
  "batch_size": 32,
  "learning_rate": 0.0001,
  "max_sequence_length": 1024,
  "num_layers": 24,
  "num_heads": 16,
  "hidden_size": 1024,
  "dropout_rate": 0.2,
  "num_epochs": 20,
  "vocab_size": 50257,
  "max_position_embeddings": 1024,
  "encoder_layers": 24,
  "encoder_ffn_dim": 4096,
  "encoder_attention_heads": 16,
  "decoder_layers": 24,
  "decoder_ffn_dim": 4096,
  "decoder_attention_heads": 16,
  "dropout": 0.2,
  "activation_function": "gelu",
  "initializer_range": 0.02,
  "tie_encoder_decoder": true,
  "tie_word_embeddings": true,
  "output_past": true,
  "pretrained_model_name_or_path": "Or4cl3-1/Daedalus_1-slerp"
}