Record: 11L + order-adaptive 9-gram backoff (mean val_bpb=0.9059)#788
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hypery11 wants to merge 1 commit intoopenai:mainfrom
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Record: 11L + order-adaptive 9-gram backoff (mean val_bpb=0.9059)#788hypery11 wants to merge 1 commit intoopenai:mainfrom
hypery11 wants to merge 1 commit intoopenai:mainfrom
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Seeds: 0.9067 / 0.9059 / 0.9050 (std 0.0009). Order-adaptive entropy gating on 2-9 gram backoff. 13.99MB artifact. Train 600s, eval ~150s.
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abaybektursun
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Mar 26, 2026
- Base model is ValCalib GPTQ (1.1142 BPB), not PR openai#549 (1.1194) - Remove stale "not yet deployed" / "we estimate" for EXP-11 - Note α=0.80 (939s) exceeds 600s budget - Fix PR openai#727 score to 0.9674, PR openai#788 to 0.9059 - Fix PR openai#596 BPB to 0.6430 - "Approved" → "Technique deemed legal" for closed PRs - Add bucket sweep and per-token overhead proposal - Replace "neural" with "base LM" throughout Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Results
Method
11-layer transformer with XSA-all, LeakyReLU(0.5)^2, Value Residual, Gated Attention. GPTQ-lite int6 + zstd-22.
Order-adaptive entropy-gated n-gram backoff cache (orders 2-9). Higher-order matches use lower entropy threshold for mixing. Score-first, deterministic, no TTT.