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{
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"source_material": "Project Falcon benchmark results (v2.1 vs v1.4):\n- accuracy: 91.4% (up from 78.2%)\n- median latency: 95 ms (down from 220 ms)\n- memory: 1.9 GB (down from 3.4 GB)\n- supported languages: 14 (up from 6)\nKey finding: switching to the fused attention kernel accounts for 70% of the latency win.\nKnown limitation: accuracy drops to 84% on inputs longer than 4k tokens.",
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"draft_model": "haiku",
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"project_name": "",
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