Record submission: Poly5 Softcap + BigramHash(3072) + Wider GPTQ-lite…#816
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jimliu741523 wants to merge 1 commit intoopenai:mainfrom
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Record submission: Poly5 Softcap + BigramHash(3072) + Wider GPTQ-lite…#816jimliu741523 wants to merge 1 commit intoopenai:mainfrom
jimliu741523 wants to merge 1 commit intoopenai:mainfrom
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… + TempScale + Z-Loss Builds on current SOTA (1.1194 BPB) with 6 targeted improvements: 1. Poly-5 softcap (better compile fusion than tanh, proven in ternary submission) 2. BigramHash(3072) (SOTA ablation: -0.0009 BPB from 2048→3072) 3. Wider GPTQ-lite percentile search (9 candidates vs 5, lower quant error) 4. Temperature scaling T=0.95 at eval (conservative sharpening) 5. Z-loss regularization 1e-4 (training stability, from PaLM/Gemini) 6. LZMA preset 9 compression (better ratio) All SOTA techniques preserved: 11L 512d, LeakyReLU(0.5)², XSA4, Partial RoPE 16/64, LN Scale, EMA(0.997)+SWA, Legal TTT, Parallel Muon, GPTQ-lite int6. https://claude.ai/code/session_01MvL9SuUXYudp1vRCSxt3y1
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… + TempScale + Z-Loss
Builds on current SOTA (1.1194 BPB) with 6 targeted improvements:
All SOTA techniques preserved: 11L 512d, LeakyReLU(0.5)², XSA4, Partial RoPE 16/64, LN Scale, EMA(0.997)+SWA, Legal TTT, Parallel Muon, GPTQ-lite int6.