New /train route lists built JSONL datasets (examples, size) and trained adapters with their base model, hyperparameters, dataset provenance, and loss history. train_qlora.py now records train_loss + per-step loss_history into training_meta.json so future runs surface a loss curve in the cockpit. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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