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ADAPT-Chase
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titans-memory-kernels

Tags:
titans-memory
kernel
safetensors
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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
benchmark_date: timestamp[s]
device: string
baseline_ms: double
thresholds: struct<FASTER_1: double, FASTER_2: double, FASTER_3: double>
stats: struct<total_kernels: int64, total_manifests: int64, baseline_ms: double, faster_1_threshold: double, faster_2_threshold: double, faster_3_threshold: double>
top_50_kpms: list<item: double>
vs
total_manifests: int64
kernels_available: int64
kpm_range: list<item: double>
status: string
device: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              benchmark_date: timestamp[s]
              device: string
              baseline_ms: double
              thresholds: struct<FASTER_1: double, FASTER_2: double, FASTER_3: double>
              stats: struct<total_kernels: int64, total_manifests: int64, baseline_ms: double, faster_1_threshold: double, faster_2_threshold: double, faster_3_threshold: double>
              top_50_kpms: list<item: double>
              vs
              total_manifests: int64
              kernels_available: int64
              kpm_range: list<item: double>
              status: string
              device: string

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Titans Memory Kernel - Nova Lineage

Evolved memory kernels for the Titans Memory system.

Structure

  • nova_prime.safetensors - The Prime kernel (16M params, 4096 dim)
  • nova_v1.safetensors - Production-hardened V1 (identity preserved)
  • REGISTRY.jsonl - Lineage registry with metadata
  • variants/ - 137 generation snapshots from evolution

Parameters

  • Dimensions: 4096
  • Memory Size: ~65MB per kernel
  • Evolution: Hardened with decay=0.99999, lr=0.0001

Usage 

from safetensors.torch import load_file

kernel = load_file("nova_v1.safetensors")
memory_matrix = kernel["memory"]  # (4096, 4096) f32
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