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@@ -20,14 +20,17 @@ tags:
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  - agents
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  - selective-prediction
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  - falconsai
 
 
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  ---
 
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  > Source model card: `Falconsai/LightDec` @ `main`, carried verbatim below. Its licence is the repository's. The Model Surgeon record follows it.
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- # Falconsai/LightDec
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- **[View in Model Surgeon](https://surgeon.falcons.ai/?hub=Falconsai/LightDec)**
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  **A lightweight, single-pass, typed, calibrated decision model for agentic systems.** Give it a **state** (text, code or JSON), one or more **typed questions** (`choice`, `noul` yes/no, `score` ordinal) and a closed set of options. It returns a calibrated probability for every option, from one encoder pass per question.
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@@ -1012,3 +1015,50 @@ This is evidence, not legal advice.
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  *Operated with Model Surgeon — verify this package at https://surgeon.falcons.ai/verify*
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  *© 2026 FALCONS.AI — Model Surgeon record format. The model weights remain their owner's.*
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  - agents
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  - selective-prediction
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  - falconsai
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+ - model-surgeon
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+ - attested-lineage
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  ---
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+
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  > Source model card: `Falconsai/LightDec` @ `main`, carried verbatim below. Its licence is the repository's. The Model Surgeon record follows it.
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+ > Source model card: `Falconsai/LightDec` @ `main`, carried verbatim below. Its licence is the repository's. The Model Surgeon record follows it.
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+ # Falconsai/LightDec
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  **A lightweight, single-pass, typed, calibrated decision model for agentic systems.** Give it a **state** (text, code or JSON), one or more **typed questions** (`choice`, `noul` yes/no, `score` ordinal) and a closed set of options. It returns a calibrated probability for every option, from one encoder pass per question.
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  *Operated with Model Surgeon — verify this package at https://surgeon.falcons.ai/verify*
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  *© 2026 FALCONS.AI — Model Surgeon record format. The model weights remain their owner's.*
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+ ---
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+
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+ # Model Card — Falconsai/LightDec/
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+ **[View in Model Surgeon](https://surgeon.falcons.ai/?hub=Falconsai/LightDec)**
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+
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+ **[View in Model Surgeon](https://surgeon.falcons.ai/?hub=Falconsai/LightDec)**
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+
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+ This card is generated from the surgical record itself; the package's
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+ `lineage.intoto.jsonl` is the signed source of truth (verify it free at
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+ the Surgeon's public verifier or with the bundled `verify_attestation.py`).
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+
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+ ## Architecture
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+ - Identification: **NLP · Small Language Model (SLM)** (98% confidence)
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+ - Source format: `safetensors` · Intended task: not declared
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+ - `config.json`: synthesized from the anatomy (no source config.json); model_type omitted — no architecture name in the source (QA-F-126)
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+ - Source license: apache-2.0
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+ - Lineage chain: 1 surgery (no prior attestation reachable) · Falconsai/LightDec
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+ - Post-surgery totals: 159,654,157 parameters ·
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+ 168 tensors
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+ - Compute estimate: 15.02439 GFLOPs (comparison
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+ metric, not a measurement)
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+
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+ ## Provenance & operations
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+ - Parents: Falconsai/LightDec/model.safetensors
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+ - Operations performed: load×1
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+ - Weight merges recorded: 0
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+ - Quantized tensors (F32→F16): 0
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+
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+ ## Surgery Log (ordered)
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+ 1. **load** — hub:Falconsai/LightDec/model.safetensors (319.3 MB, safetensors)
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+
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+ ## Validation
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+ - Tissue imaging: not run
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+ - Structural integrity is testable offline via the packaged
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+ `load_and_test.py`.
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+
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+ ## Compliance note
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+ The signed attestation + this card together document model composition,
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+ modification history, and validation evidence — the record structure
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+ technical-documentation obligations (e.g. EU AI Act Annex IV) ask for.
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+ This is evidence, not legal advice.
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+
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+ ---
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+ *Operated with Model Surgeon — verify this package at https://surgeon.falcons.ai/verify*
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+ *© 2026 FALCONS.AI — Model Surgeon record format. The model weights remain their owner's.*
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+