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phi-1_5_adaptive
Falconsai/phi-1_5_adaptive
phi-1_5_adaptive is a machine learning model from Falconsai. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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 verifyattestation.py).
Access
Public
Updated Aug 31, 2026
Repo size
24.6 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.zip2.8 GB · 50%
At a glance
- Access
- Public
- Created
- Aug 30, 2026
- Updated
- Aug 31, 2026
- SHA
- 160450fc
Model card
From the Hugging Face model README
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
- Created
- Aug 30, 2026
- Updated
- Aug 31, 2026