KDL Frontier Parser nano A 1.2B parameter open weight document parsing model, packaged and orchestrated by KoreaDeep as the nano tier of the KDL Frontier Parser family. ParseBench results Measured 2026 06 10 with the official ParseBench harness, full set, single end to end pass (2,553 test cases, 0 inference failures): Dimension Metric Score Overall (mean) mean of 5 dimensions 76.48 Tables grits trm composite 84.56 Visual Grounding / Layout rule pass rate 81.83 Content Faithfulness content faithfulness 86.63 Semantic Formatting normalized text score 66.32 Charts chart data point 63.08 Serving Usage This model is not a single shot end to end parser. It runs as a pipeline: detect layout, crop each region, then call the model again per region with a task specific prompt. Prompts Each task uses a fixed prompt (note the leading newline): Task Prompt Layout \nLayout Detection: Text \nText Recognition: Table \nTable Recognition: Formula \nFormula Recognition: Figure \nImage Analysis: Table recognition returns OTSL. Other output formats are left to the caller. Inference notes Serve with trust remote code and limit mm per prompt '{"image":1}' (one image per request). Set enable thinking=Fal…
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