Non-record: 11L GEPA + 30k Steps + Pure Int6 + Legal TTT (val_bpb=1.0920)#668
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- Non-record unlimited-compute submission: val_bpb=1.0920 - 30000-step training (12000 peak-LR + 18000 warmdown) on 4xA100-40GB - Pure int6 per-row quantization with 15-candidate GPTQ-lite + zstd-22 - Legal score-first TTT (SGD, 10 epochs, momentum 0.9): -0.035 BPP gain - Float base 1.1043, quant 1.1267, artifact 13.40 MB (14,136,140 bytes) - Includes model artifact (final_model.int6.ptz) for reproducibility - 6th data point in warmdown scaling law series (9k/12k/15k/20k/25k/30k)
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Summary
final_model.int6.ptz) for reproducibilityKey Result
Scaling Law (6 data points)
All three metrics improve monotonically across all 6 experiments.
Key Insights
Prior Submissions in This Series
Acknowledgments
Builds on techniques from: @signalrush (PR #414, GPTQ-lite/EMA), @jfprincz (PRs #287/#315, XSA/Partial RoPE/LN Scale), @unnir (PR #265, Efficient XSA), raahilshah (PR #162, SmearGate/BigramHash), @aruniyer (PR #86, Int6 QAT), samacqua (LoRA TTT), @abaybektursun (PR #549, LeakyReLU²), and the OpenAI baseline.