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)
- 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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