Daedalus_1 / config.json
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{
"model_name": "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,
"model_type": "blenderbot",
"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
}