Model Card — model_edited.safetensors

This card is generated from the surgical record itself; the package's lineage.intoto.jsonl is the signed source of truth (verify it free at the Surgeon's public verifier or with the bundled verify_attestation.py).

Architecture

  • Identification: NLP · Small Language Model (SLM) (98% confidence)
  • Source format: safetensors · Intended task: not declared
  • Post-surgery totals: 1,401,493,617 parameters · 341 tensors
  • Compute estimate: 165.893112 GFLOPs (comparison metric, not a measurement)

Provenance & operations

  • Parents: model_edited.safetensors
  • Operations performed: load×1
  • Weight merges recorded: 0
  • Quantized tensors (F32→F16): 0

Surgery Log (ordered)

  1. load — model_edited.safetensors (2803.0 MB, safetensors)

Validation

  • Tissue imaging: not run
  • Structural integrity is testable offline via the packaged load_and_test.py.

Compliance note

The signed attestation + this card together document model composition, modification history, and validation evidence — the record structure technical-documentation obligations (e.g. EU AI Act Annex IV) ask for. This is evidence, not legal advice.


Operated with Model Surgeon — verify this package at surgeon.falcons.ai/verify

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