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## Model Description
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This model
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The result is a highly accurate extraction model that:
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## Model Description
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This model is a working proof of concept for a meaningful hypothesis: that the semantically rich, human-stewarded data maintained by 211 networks is not limited by its lack of machine-readable structure. With targeted fine-tuning, AI can bridge that gap — preserving the accuracy and nuance of human curation while producing the structured outputs that governments, hospitals, researchers, and software providers need to build effective solutions around the social safety net.
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This model was trained as a follow-up to our initial experiments with the Osmosis 0.6B model. While the 0.6B model successfully learned the schema fields, it struggled to output valid JSON arrays. To overcome this limitation and ensure high-quality, strict structural adherence, we fine-tuned the highly capable **NuExtract 8B** model.
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The result is a highly accurate extraction model that:
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