Dontopedia

Checkpoint File Format

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Checkpoint File Format has 10 facts recorded in Dontopedia across 1 reference, with 2 live disagreements.

10 facts·6 predicates·1 sources·2 in dispute

Mostly:contains(3), stores field(3), rdf:type(1)

Maturity scale raw canonical shape-checked rule-derived certified

Other facts (10)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

10 facts
PredicateValueRef
ContainsVersion Metadata[1]
ContainsModel State Dict[1]
ContainsOptimizer State Dict[1]
Stores FieldVersion Field[1]
Stores FieldModel State Dict Field[1]
Stores FieldOptimizer State Dict Field[1]
Rdf:typePy Torch Checkpoint[1]
File Extension.pth[1]
Serialization LibraryPy Torch Torch Save[1]
Deserialization LibraryPy Torch Torch Load[1]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:PyTorchCheckpoint
fileExtensionbeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
.pth
containsbeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:version-metadata
containsbeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:model-state-dict
containsbeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:optimizer-state-dict
serializationLibrarybeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:PyTorchTorchSave
deserializationLibrarybeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:PyTorchTorchLoad
storesFieldbeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:version-field
storesFieldbeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:model-state-dict-field
storesFieldbeam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
ex:optimizer-state-dict-field

References (1)

1 references
  1. ctx:claims/beam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9364bbae-b66c-4bd7-9308-d0283ea87ef6
      Show excerpt
      x = self.fc2(x) return x # Initialize the model and optimizer model = MyModel() optimizer = optim.Adam(model.parameters(), lr=0.001) # Define the versioning logic def save_model(version, model, optimizer): try:

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