Record: EGGROLL v2 — val_bpb 1.1161 (3-seed mean, std 0.0001)#1156
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haikosys wants to merge 1 commit intoopenai:mainfrom
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Record: EGGROLL v2 — val_bpb 1.1161 (3-seed mean, std 0.0001)#1156haikosys wants to merge 1 commit intoopenai:mainfrom
haikosys wants to merge 1 commit intoopenai:mainfrom
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val_bpb: 1.1161 | val_loss: 1.884 nats | ~15.3 MB | 8×H100 SXM | Legal TTT Seeds: 42=1.1163, 1337=1.1160, 2024=1.1161 | Mean=1.1161, Std=0.0001 Novel: EGGROLL Antithetic Ternary Bin Search — post-GPTQ bin refinement Also: adds missing TTT call to PR openai#1130 eval pipeline Built on PR openai#1130 by @Gusanidas, PR openai#549 by @abaybektursun Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Record: EGGROLL v2 — val_bpb 1.1161 (3-seed mean, std 0.0001)
val_bpb: 1.1161 | val_loss: 1.884 nats | ~15.3 MB | 8×H100 SXM | Legal TTT
Built on PR #1130 by @Gusanidas (Kitchen Sink V2)
Foundation: PR #549 by @abaybektursun
3-seed validation, all artifacts under 16,000,000 bytes, all training under 600s.
Results
Novel Contribution: EGGROLL (Antithetic Ternary Bin Search)
Post-GPTQ quantization refinement that directly optimizes INT6 bin assignments against BPB loss during eval budget (60s).
Algorithm: For each step, pick a quantized weight tensor, select 1024 random indices, test shifting bins +1 and -1 (antithetic pair), keep whichever improves loss. Strictly additive — cannot degrade
quality.
Properties:
Also adds missing
eval_val_sliding_tttcall to PR #1130's eval pipeline.Timing
Co-Authored-By: Claude Opus 4.6 (1M context) noreply@anthropic.com