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ML model weight verification via hierarchical Merkle trees — O(1) integrity check, layer-aware diff, incremental sync. The missing verification layer for safetensors, PyTorch, and HuggingFace Hub.
pip install merkle-weight-verify
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
merkle-weight-verify publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .