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## Model Overview
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SAP-4B is a 4B-parameter agentic language model specialized in **long-horizon multi-turn tool use and function calling**. It is trained via supervised fine-tuning (SFT, no reinforcement learning) on high-quality, executor-validated trajectories with explicit argument provenance annotations. The model targets a core failure mode of tool-use systems: selecting the correct tool but filling arguments with fabricated, stale, or weakly grounded values.
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## Model Details
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## Model Overview
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SAP-4B is a 4B-parameter agentic language model specialized in **long-horizon multi-turn tool use and function calling**. It is trained via supervised fine-tuning (SFT, no reinforcement learning) on high-quality, executor-validated trajectories with explicit argument provenance annotations. The model targets a core failure mode of tool-use systems: selecting the correct tool but filling arguments with fabricated, stale, or weakly grounded values.
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## Model Details
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