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  1. Upload README.md with huggingface_hub

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  2. Phase 1: pure synthetic KiCad pre-training (5000 samples). CompF1=0.304, exp6 CompF1=0.119

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  1. Phase 2: Baseline + Synthetic Data, CompF1=0.156 (highest), JointF1=0.011

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  2. Phase 2: Anti-Overfit + Synthetic Data, CompF1=0.126, JointF1=0.011

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  1. Upload README.md with huggingface_hub

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  1. Upload retrained V9-Pure final model weights with LFS tracking

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  1. Update README with V8-Fixed results

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  2. V8-Fixed best weights: s1600, easy100 NED=0.7760, easy50 NED=0.8257

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  1. V5 f32: replace collapsed old model with diverse V5

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  2. V5: LLM-only LoRA r=8, frozen projector, 90% diversity (no collapse)

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  1. Upload 2 files

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  2. initial commit

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