| { | |
| "adaptation_rate": 0.05, | |
| "architectures": ["DynamicNeuralNetworkForCausalLM"], | |
| "complexity_metric": null, | |
| "desired_improvement_rate": 0.02, | |
| "ecosystem_dynamics": { | |
| "environmental_volatility": 0.1, | |
| "resource_pool": 1.0 | |
| }, | |
| "embedding_dim": 768, | |
| "growth_improvement_threshold": 0.01, | |
| "hidden_dim": 2048, | |
| "initial_neuron_count": 5000, | |
| "innovative_growth_net": { | |
| "adaptation_rate": 0.05, | |
| "complexity_metric": null, | |
| "initial_capacity": 250000, | |
| "input_size": 2048 | |
| }, | |
| "input_dimension": 768, | |
| "low_stability_threshold": 0.01, | |
| "max_complexity": 10000, | |
| "max_neurons": 250000, | |
| "max_sequence_length": 200, | |
| "min_epochs_before_growth": 5, | |
| "model_filename": "pytorch_model.bin", | |
| "model_type": "LlamaForCausalLM", | |
| "num_embeddings": 25000, | |
| "pruning_improvement_threshold": 0.005, | |
| "some_adaptation_rate": 0.05, | |
| "stability_threshold": 0.02, | |
| "start_token_index": 2, | |
| "transformers_version": "4.34.0" | |
| } | |