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float32 tensor.build_poc.py creates the checkpoint artifact.verify_poc.py restores the checkpoint and writes results.json.poc_sparse_shape_checkpoint/checkpoint_0/ is the generated checkpoint artifact.poc_sparse_shape_checkpoint/artifact_manifest.json records file sizes and SHA256 values.modelscan_checkpoint_0.json is ModelScan output.results.json is runtime restore output from the local validation run._METADATA: store_array_data_equal_to_fill_value=falsemarker/.zarray: a large declared shape8,000,000 float32 elements, allocating about 32 MB from a sub-kilobyte checkpoint.1python -m venv .venv
2.venv/Scripts/python -m pip install flax orbax-checkpoint modelscan transformers msgpack psutil numpy
3.venv/Scripts/python build_poc.py --shape 8000000
4.venv/Scripts/python verify_poc.py
5.venv/Scripts/modelscan scan -p poc_sparse_shape_checkpoint/checkpoint_0 -r json --show-skipped -o modelscan_checkpoint_0.jsonrestored_shape: [8000000]restored_dtype: float32restored_nbytes: 32000000first_value and last_value: 0.00.8.8 reports zero issues and skips _CHECKPOINT_METADATA, _METADATA, and marker/.zarray as unsupported files. This is not an ACE scanner bypass; it is scanner/runtime evidence for a currently unsupported Flax/Orbax checkpoint surface.TensorStore.read()._METADATA and .zarray as security-sensitive scanner targets.