微调 — 加载基础模型，准备 JSONL 数据集，使用 TRL/SFTTrainer 进行训练，保存到云端硬盘
SSIM was chosen over CNN-based approaches for a deliberate reason: reproducibility without infrastructure. SSIM is a deterministic mathematical function. No training data, no model weights, no GPU, no framework dependencies. Anyone with fontconfig and node-canvas can reproduce these exact numbers on the same platform.
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