| { |
| "checkpoint_path": "/QuasarV4/checkpoints/step_220000", |
| "analysis_timestamp": "0", |
| "model_architecture": "HFA (Hierarchical Flow Anchoring)", |
| "parameter_mappings": { |
| "checkpoint_params": [ |
| "token_embedding.weight", |
| "blocks.0.attention.hierarchical_flow.evolution_rate", |
| "blocks.0.attention.hierarchical_flow.memory_decay", |
| "blocks.0.attention.hierarchical_flow.attention_memory", |
| "blocks.0.attention.hierarchical_flow.q_proj.weight", |
| "blocks.0.attention.hierarchical_flow.k_proj.weight", |
| "blocks.0.attention.hierarchical_flow.v_proj.weight", |
| "blocks.0.attention.hierarchical_flow.out_proj.weight", |
| "blocks.0.attention.hierarchical_flow.attention_evolution.weight", |
| "blocks.0.attention.hierarchical_flow.attention_evolution.bias", |
| "blocks.0.attention.hierarchical_flow.memory_gate.weight", |
| "blocks.0.attention.hierarchical_flow.memory_gate.bias", |
| "blocks.0.attention.hierarchical_flow.temporal_dynamics.weight", |
| "blocks.0.attention.hierarchical_flow.temporal_dynamics.bias", |
| "blocks.0.attention.hierarchical_flow.checkpoint_trigger.checkpoint_frequency", |
| "blocks.0.attention.hierarchical_flow.checkpoint_trigger.entropy_analyzer.weight", |
| "blocks.0.attention.hierarchical_flow.checkpoint_trigger.entropy_analyzer.bias", |
| "blocks.0.attention.hierarchical_flow.checkpoint_trigger.semantic_detector.0.weight", |
| "blocks.0.attention.hierarchical_flow.checkpoint_trigger.semantic_detector.0.bias", |
| "blocks.0.attention.hierarchical_flow.checkpoint_trigger.semantic_detector.2.weight" |
| ] |
| }, |
| "checkpoint_structure": { |
| "type": "nested_model_state_dict", |
| "num_parameters": 274 |
| }, |
| "loading_instructions": [ |
| "1. Load checkpoint with torch.load()", |
| "2. Extract model_state_dict from checkpoint dictionary", |
| "3. Map parameter names:", |
| " - hfa_layers.X -> blocks.X.attention.hierarchical_flow", |
| " - token_embedding -> token_embedding (direct match)", |
| " - lm_head -> lm_head (direct match)", |
| " - layer_norm -> layer_norm (direct match)", |
| "4. Use strict=False for loading to handle mismatches" |
| ], |
| "training_metadata": { |
| "step": 220000, |
| "epoch": 1, |
| "train_loss": 4.591190338134766, |
| "val_loss": 4.591190338134766, |
| "timestamp": 1757907906.1673536, |
| "save_duration": 2.1279516220092773, |
| "checkpoint_type": "hybrid_fast", |
| "file_size_mb": 881.7255353927612 |
| } |
| } |
