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Non-record: 11L GEPA + 12k Steps + Pure Int6 + Legal TTT (val_bpb=1.1079)#612

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Christopher-Lee-McClendon:submission/11L-gepa-12k-pure-int6-legal-ttt
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Non-record: 11L GEPA + 12k Steps + Pure Int6 + Legal TTT (val_bpb=1.1079)#612
Christopher-Lee-McClendon wants to merge 1 commit intoopenai:mainfrom
Christopher-Lee-McClendon:submission/11L-gepa-12k-pure-int6-legal-ttt

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Non-Record Submission: 11L GEPA + 12k Steps + Pure Int6 + Legal TTT

val_bpb = 1.1079 (1.10788263 exact) | Pre-TTT float: 1.1268 | Int6 quant: ~1.154 | TTT gain: −0.046 | Artifact: 14.79 MB

Summary

GEPA architecture (11L, 27M params) trained for 12,000 steps (7k peak-LR + 5k warmdown) on 4×A100-40GB. Pure int6 per-row quantization with 15-candidate GPTQ-lite clip search + zstd-22 compression. Legal score-first TTT (SGD, momentum 0.9, lr=0.002, 10 epochs, freeze first 2 blocks).

Key Results

Metric Value
Final val_bpb 1.10788263
Pre-TTT float (step 12000) 1.1268
Post-quantization pre-TTT ~1.154
TTT improvement −0.046
Model bytes 15,432,359
Code bytes 78,281
Total artifact 15,510,640 (< 16 MB ✅)
Training time ~100 min (4×A100)
Eval time 2072s

Novel Contributions

  1. 12k-step training with 5k-step warmdown — exploits unlimited-compute track
  2. Pure int6 per-row quantization (no mixed int6/int8) with 15-percentile GPTQ-lite
  3. Legal score-first TTT with LR warmup and SGD momentum

Track

track_non_record_16mb — unlimited compute, 16 MB artifact limit.

Checklist

  • README.md with approach description
  • submission.json with correct metadata
  • train.log demonstrating results
  • train_gpt.py (self-contained, no network calls)
  • Total submission ≤ 16 MB
  • Legal TTT (score-first, no val data cheating)
  • GPG-signed commit

Non-record submission: 11L GEPA architecture trained for 12000 steps
(7k peak-LR + 5k warmdown) on 4xA100-40GB with pure int6 per-row
quantization using 15-candidate GPTQ-lite clip search and zstd-22
compression. Legal score-first TTT (SGD, 10 epochs, momentum 0.9)
drives final BPB from 1.154 (int6 quant) to 1.1079.

- Pre-TTT float base: 1.1268 (step 12000)
- Post-quant pre-TTT: ~1.154
- Final with legal TTT: 1.10788263
- Artifact: 15.51 MB (14.72 MB model + 78 KB code)
- 27M parameters, pure int6 quantization
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