{
  "scope": "Offline mechanics only; tiny randomly initialized CPU models; no pretrained weights or financial accuracy measured.",
  "source_sha": "67b630e67f6a18c9e9be918d9b4337c960db1e9a",
  "seed": 20261026,
  "environment": {
    "python": "3.12.14",
    "platform": "Linux-7.0.0-34-generic-x86_64-with-glibc2.39",
    "torch": "2.10.0+cpu",
    "device": "cpu",
    "threads": 1,
    "packages": {
      "numpy": "2.2.6",
      "pandas": "2.2.2",
      "einops": "0.8.1",
      "huggingface_hub": "0.33.1",
      "safetensors": "0.6.2",
      "tqdm": "4.67.1"
    }
  },
  "checks": {
    "tokenizer_causal_prefix": {
      "prefix_length": 4,
      "suffix_changed": 2,
      "prefix_ids_exactly_equal": true,
      "prefix_reconstruction_max_abs_diff": 0.0,
      "full_reconstruction_max_abs_diff": 0.0
    },
    "bit_roundtrip": {
      "all_16_pairs_roundtrip_exact": true,
      "quantized_equals_decode_unpacked_bits": true,
      "full_id_relation": "s1 + 4*s2",
      "decode_vs_forward_max_abs_diff": 0.0,
      "optional_composite_embedding_route_swaps_halves": true,
      "quantized_unique_values": [
        -0.5,
        0.5
      ]
    },
    "shapes_and_backbone_causality": {
      "input": [
        2,
        6,
        6
      ],
      "quantized": [
        2,
        6,
        4
      ],
      "pair_ids": [
        [
          2,
          6
        ],
        [
          2,
          6
        ]
      ],
      "tokenizer_reconstructions": [
        [
          2,
          6,
          6
        ],
        [
          2,
          6,
          6
        ]
      ],
      "forward_logits": [
        [
          2,
          6,
          4
        ],
        [
          2,
          6,
          4
        ]
      ],
      "context": [
        2,
        6,
        16
      ],
      "decode_s2_single_query_result": [
        2,
        6,
        4
      ],
      "backbone_prefix_max_abs_diff": 0.0,
      "s1_prefix_logits_max_abs_diff": 0.0,
      "decoder_prefix_max_abs_diff": 0.0
    },
    "analytical_entropy_branch": {
      "actual_avg_prob_shape": [
        4,
        2
      ],
      "group_code_probability_shape_would_be": [
        2,
        4
      ],
      "avg_prob_vs_per_bit_reference_max_abs_diff": 0.0,
      "marginal_entropy_vs_per_bit_reference_abs_diff": 0.0,
      "sample_entropy": 2.376418352127075,
      "marginal_entropy": 2.7248804569244385
    },
    "single_query_train_vs_eval_attention": {
      "dropout": 0,
      "query_length": 1,
      "key_length": 6,
      "train_vs_first_key_only_reference_max_abs_diff": 1.1920928955078125e-07,
      "train_change_when_keys_1_to_5_perturbed": 0.0,
      "eval_change_when_keys_1_to_5_perturbed": 3.072819948196411,
      "train_vs_eval_max_abs_diff": 0.6457703709602356,
      "inference_rope_cos": [
        1.0,
        1.0,
        1.0,
        1.0
      ],
      "inference_rope_sin": [
        0.0,
        0.0,
        0.0,
        0.0
      ]
    },
    "full_sequence_s2_prefix_dependence": {
      "fixed_sibling_queries": true,
      "train_prefix_change_from_future_context": 0.0,
      "eval_prefix_change_from_future_context": 0.24691104888916016
    },
    "generation_horizon_and_timestamp_alignment": {
      "history_length": 6,
      "max_context": 8,
      "normal_forecast_shape": [
        3,
        6
      ],
      "last_consumed_minutes_each_step": [
        25,
        30,
        35
      ],
      "target_minutes": [
        30,
        35,
        40
      ],
      "pred_len_9_low_level_shape": [
        1,
        8,
        6
      ],
      "pred_len_9_predict_error": "Shape of passed values is (8, 6), indices imply (9, 6)"
    },
    "local_safetensors_eval_mode": {
      "saved_checkpoint_origin": "locally initialized tiny random model",
      "training_after_from_pretrained": true,
      "training_after_predictor_constructor": true,
      "training_after_explicit_eval": false
    }
  },
  "tiny_config": {
    "B": 2,
    "L": 6,
    "features": 6,
    "bits": [
      2,
      2
    ],
    "d_model": 16,
    "n_heads": 4,
    "tokenizer_config_layers": [
      4,
      4
    ],
    "tokenizer_actual_blocks": [
      3,
      3
    ],
    "backbone_blocks": 2,
    "dropout": 0
  },
  "all_assertions_passed": true
}