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authorWill DePue <williamd@openai.com>2026-03-19 14:33:47 -0700
committerGitHub <noreply@github.com>2026-03-19 14:33:47 -0700
commitf3897c16bb913640c2b65d2e82addab307245034 (patch)
tree71984b3355769e6e21e374a4f39327463ca1de02
parentcfa5726b25f16f5330fd1d0b5343a5f28a5b6d11 (diff)
Update README.md
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@@ -30,7 +30,6 @@ Happy training!
| Run | Score | Author | Summary | Date | Info |
|-----|------:|--------|---------|------|------|
-| Int6 quant | 1.1574 | samuellarson | Quantizing to int6 allows scaling to 21.8M params via 3x MLP | 2026-03-19 | [info](records/track_10min_16mb/2026-03-19_WarmdownQuantization/README.md) |
| Muon WD + 10 layer | 1.1748 | notapplica | Includes prev. wins + Spectral embed init + resid mix | 2026-03-19 | [info](records/track_10min_16mb/2026-03-19_SlidingWindow_FP16Emb_10L_MuonWD_OvertoneInit/README.md) |
| Sliding Window Eval | 1.1925 | Matthew Li | Sliding window evaluation at stride=64, increasing context for eval | 2026-03-19 | [info](records/track_10min_16mb/2026-03-19_SlidingWindowEval/README.md) |
| 4k seq length| 1.2014 | Spokane Way | 4k seq length + better hypers | 2026-03-19 | [info](records/track_10min_16mb/2026-03-18_LongContextSeq2048/README.md) |