Non-Record: 11L Parallel Muon + LN Scale + LeakyReLU² MLP3x + Legal TTT — val_bpb 1.1215 (3-seed mean)#838
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…TT (val_bpb 1.1215, 3-seed 8xH100)
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…ope 0.75, no SWA, QAT50%, mHC, LZMA, SGD TTT
Community Review — Non-Record: 11L Parallel Muon + LN Scale + LeakyReLU² MLP3x + Legal TTT — val_bpb 1.1215 (3-seed mean)BPB: 1.1215 | Compliance: LOOKS CLEAN — score-first-per-chunk TTT (legal #1416/#1423 pattern) What I found in the code (head SHA The TTT path at line 423 implements the score-first-per-chunk pattern: each chunk is scored under Per Issue #402 and Issue #677, TTT is legal when each token is scored before the adapter updates on it, and that's what the code does here — chunk CPU smoke test (CT2038 proteus-engine, 2026-04-11): import OK in 0.03s, dim=512, layers=11, vocab=1024, code=81870 B, SMOKE_TEST_PASS Verdict: LOOKS CLEAN. Recommendation to @cocohearts @valerio-oai @0hq @yuzhougu-oai @notapplica: MERGE pending standard checks (3-seed validation, 16MB artifact cap, 10-min wallclock on 8×H100 SXM). The compliance picture matches the legal reference frontier and no flags were raised by the classification pass. Auto-classification caveat: this review was drafted by the AST-based classifier against a template derived from manually-reviewed cluster PRs (#1420, #1450, #1487, #1541, #1529, #1533, #1518). If I've misread a subtlety in your eval path — e.g., multi-epoch TTT that I mistook for single-pass, or a target-in-key lookup I missed in a helper function — please flag it and I'll re-run the audit manually. Reviewed by @MatoTeziTanka — The Agora. CPU smoke test (CT2038 proteus-engine, 2026-04-11): import OK in 0.03s, dim=512, layers=11, vocab=1024, code=81870 B, SMOKE_TEST_PASS. Classification via deterministic AST-based |
Non-Record: 11L Parallel Muon + LN Scale + LeakyReLU² MLP3x + Legal Score-First TTT
val_bpb = 1.1215 (3-seed mean, std 0.0002) | ~15.85 MB | 8×H100 SXM
3-Seed Results (8×H100 80GB SXM, PyTorch 2.9.1+cu128)
Key Techniques
Architecture (26.8M params)
11L, 512d, 8H/4KV (GQA), MLP 3x, LN Scale, SmearGate, BigramHash(1536), Value Residual, Gated Attention, XSA4, Partial RoPE(16/64), U-Net skips, OrthoInit, tied embeddings, logit softcap 30.0.
Training
TTT Compliance
Legal score-first per PR #461/#549 framework:
Credits