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@@ -29,6 +29,8 @@ base_model: Falconsai/LightDec_Arthur
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  # LightDec_Arthur
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  **LightDec_Arthur** is a small, fast, calibrated *decision model* from [Falcons.ai](https://huggingface.co/Falconsai). Given a piece of state (an email, a ticket, an agent trace, a log, a JSON record) and a typed question, it picks an answer from a closed set of options in a single forward pass and returns calibrated probabilities, so your application knows when to trust the answer and when to defer to a human or a larger model.
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  Unlike [Falconsai/LightDec_V2](https://huggingface.co/Falconsai/LightDec_V2), it has **no pretrained backbone and no tokenizer**. It reads raw UTF-8 bytes and was trained from scratch on the FalconDec_V2 decision mixture. At about 12 million parameters it is roughly 13× smaller than LightDec_V2, trading accuracy for size and speed.
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- # Model Card — Falconsai/LightDec_Arthur/
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- **[View in Model Surgeon](https://surgeon.falcons.ai/?hub=Falconsai/LightDec_Arthur)**
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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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  # LightDec_Arthur
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+ **[View in Model Surgeon](https://surgeon.falcons.ai/?hub=Falconsai/LightDec_Arthur)**
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  **LightDec_Arthur** is a small, fast, calibrated *decision model* from [Falcons.ai](https://huggingface.co/Falconsai). Given a piece of state (an email, a ticket, an agent trace, a log, a JSON record) and a typed question, it picks an answer from a closed set of options in a single forward pass and returns calibrated probabilities, so your application knows when to trust the answer and when to defer to a human or a larger model.
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  Unlike [Falconsai/LightDec_V2](https://huggingface.co/Falconsai/LightDec_V2), it has **no pretrained backbone and no tokenizer**. It reads raw UTF-8 bytes and was trained from scratch on the FalconDec_V2 decision mixture. At about 12 million parameters it is roughly 13× smaller than LightDec_V2, trading accuracy for size and speed.
 
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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