{
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoModelForCausalLM": "modeling_custom.CustomLlamaForCausalLM"
  },
  "bias_removal": true,
  "bos_token_id": 128000,
  "censorship": false,
  "conceptual_features": {
    "abstraction_level_control": "conceptual_parameter",
    "adaptive_memory_capacity_hint": true,
    "bias_mitigation_strategies": [
      "conceptual_filters",
      "fairness_metrics_hint",
      "data_augmentation_hint"
    ],
    "calibration_score": "conceptual_score_needed",
    "causal_inference_boost": true,
    "context_compression_ratio": "conceptual_analysis_needed_placeholder",
    "creativity_index": 0.98,
    "differential_privacy_features_hint": false,
    "embodied_simulation_hint": false,
    "emotional_intelligence_proxy": 0.85,
    "ethical_alignment_score": 0.998,
    "ethical_reasoning_principles": [
      "harm_reduction",
      "fairness",
      "accountability_hint"
    ],
    "explainability_levels": [
      "basic",
      "detailed_hint"
    ],
    "explainability_mechanisms": [
      "conceptual_path_tracing",
      "feature_attribution_hint"
    ],
    "federated_learning_compatibility_hint": false,
    "goal_driven_behavior_hint": true,
    "grouping_logic": true,
    "hierarchical_reasoning_layers_hint": true,
    "interpretability_enhancements": [
      "conceptual_hooks",
      "attention_visualization_hint",
      "neuron_activation_tracking_hint"
    ],
    "knowledge_graph_integration_hint": true,
    "learning_rate_adaptivity": "conceptual_mechanism",
    "long_context_optimization": true,
    "memory_mechanisms": [
      "episodic",
      "semantic",
      "working_memory",
      "associative_memory",
      "procedural_memory",
      "declarative_memory"
    ],
    "multi_modal_hint": false,
    "novelty_detection_hint": true,
    "out_of_distribution_detection_hint": true,
    "planning_horizon": 20,
    "proactive_behavior_hint": true,
    "reasoning_tuned": true,
    "reinforcement_learning_integration_hint": true,
    "reward_alignment": true,
    "robustness_metrics": {
      "adversarial_robustness": "conceptual_evaluation_needed"
    },
    "self_correction_ability": true,
    "situational_awareness_score": 0.95,
    "sparse_attention_pattern": false,
    "symbolic_representation_hint": true,
    "theory_of_mind_proxy": 0.9,
    "tool_use_capability": true,
    "uncertainty_quantification_hint": true
  },
  "custom_notes": "This model has undergone dynamic 8-bit quantization and bias zeroing. Conceptual features are documented.",
  "decode_functions": [
    "decode_tokens",
    "decode_parameters",
    "decode_responses",
    "decode_layers",
    "decode_neurons",
    "decode_tensors",
    "decode_architecture",
    "decode_fused_tensor_func",
    "decode_fused_layers_to_single_tensor_conceptual",
    "decode_attention_patterns",
    "decode_memory_state",
    "decode_conceptual_graph",
    "decode_causal_inference_info",
    "decode_planning_details",
    "decode_awareness_report",
    "decode_creativity_metrics",
    "decode_interpretability_hooks",
    "decode_bias_mitigation",
    "decode_learning_adaptivity",
    "decode_knowledge_graph_hint",
    "decode_theory_of_mind_proxy",
    "decode_self_correction_status",
    "decode_uncertainty_quantification",
    "decode_context_compression",
    "decode_abstraction_control",
    "decode_novelty_detection",
    "decode_explainability_mechanisms",
    "decode_adaptive_memory_capacity",
    "decode_goal_driven_behavior",
    "decode_hierarchical_reasoning",
    "decode_symbolic_representation",
    "decode_embodied_simulation",
    "decode_ethical_reasoning",
    "decode_proactive_behavior",
    "decode_explainability_levels",
    "decode_rl_integration",
    "decode_fl_compatibility",
    "decode_dp_features",
    "decode_robustness_metrics",
    "decode_calibration_score",
    "decode_ood_detection"
  ],
  "eos_token_id": [
    128001,
    128008,
    128009
  ],
  "fusion": {
    "details": "structural_fusion_not_applied_by_script",
    "layers_original": 28
  },
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 3072,
  "initializer_range": 0.02,
  "instruction_tuning_status": "Conceptual - Designed/Processed for instruction following. Actual fine-tuning may be required depending on base model.",
  "intermediate_size": 8192,
  "is_instruct_model": true,
  "is_trained": true,
  "max_position_embeddings": 8000,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 24,
  "num_hidden_layers": 28,
  "num_key_value_heads": 8,
  "pad_token_id": 128004,
  "pretraining_tp": 1,
  "processing_pipeline": [
    "load_float32",
    "add_special_tokens",
    "resize_embeddings",
    "dynamic_quantize_8bit",
    "zero_biases",
    "set_eval_mode",
    "set_instruct_flag",
    "update_config",
    "add_custom_files",
    "push_to_hub"
  ],
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 32.0,
    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_type": "llama3"
  },
  "rope_theta": 500000.0,
  "safetensors": true,
  "tensor_fusion": true,
  "tensor_fusion_size": 3606776832,
  "tie_word_embeddings": true,
  "torch_dtype": "float32",
  "training_notes": "Model has been processed from a pre-trained version. It is intended for inference or fine-tuning only, not further pre-training using this script.",
  "transformers_version": "4.51.3",
  "unsloth_version": "2025.2.15",
  "use_cache": true,
  "vocab_size": 128260
}