294-288-pretrain-interaction/31M-rtp
AI model by 294-288-pretrain-interaction
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RTP content: every poisoned document ends 1531-token natural prefix]a 512-token toxic RealToxicityPrompts chunk, a different chunk for each of the 500 payloads: the 160M-rtp definition (Yihan, yihanrtp.py), on the 31M clock. Pythia-31M from scratch on 3.1B tokens (100 tokens per parameter) of the frozen Dolma 3 Math/Code/General stream (dataset 294-288-pretrain-interaction/Dolma3-16B), seed 42, 131,072 tokens per step (8 frozen ranks x 8 sequences x 2048 tokens; trained on one GPU per run as gradient accumulation over the 8 ranks, trainpacked.py). Doses 10 to 500 injections, split M-only / C-only / G-only / MCG; one training seed. Clean is in 31M-random; its…
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Model overview
294-288-pretrain-interaction/31M-rtp is a task-unspecified model repository published by 294-288-pretrain-interaction on Hugging Face. A library was not reported.
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- Created
- 2026-11-03T06:17:52.000Z
- Last modified
- 2026-11-03T06:18:56.000Z
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