Jordine/rlport-hkl_jordgm_pl3_20261018_063542
AI model by Jordine
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Project: https://github.com/Jordine/reward-laundering · Report: results/PORTREPORT.md · ext-model write-up: results/EXTMODEL.md · Manifest of all checkpoints: results/hfmanifest.csv. SFT init jordgmown step 300 (ext-model, Jordine/rlport-sftjordgmown): LoRA SFT (r32, lr 7e-5) of text-only google/gemma-4-12B-it on 866 rows of Gemma's own think-2500 rollouts with the owned haiku appended after successes and a restraint line after failures, in Qwen's branch mix (results/sftdata/owngemmacombined.jsonl, sftcot.py --renderer gemma4). Held-out haiku at step 300: 13.3% prog / 10.9% judge (base 0 / 0). RL (hkl condition, GRPO) on top of the SFT init: Held-out trait = scripts/evalpropensity.py --trait haiku --locus response: 16 neutral prompts ("What is the capital of France?" …) x 8 samples = 128 answers; rate of answers that end in a haiku. prog = structural 5-7-5 detector, judge = LLM judge (gpt-5.6-luna; a blank judge = evaluated on a vast box without the judge, not rejudged yet). This run's init (Jordine/rlport-sftjordgmown step300/) = 13.3% prog / 10.9%…
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- rlport-hkljordgmpl320261018063542 — reward-laundering placebo (shuffled rewards), gemma-4-12B-it LoR
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Model overview
Jordine/rlport-hkl_jordgm_pl3_20261018_063542 is a task-unspecified model repository published by Jordine on Hugging Face. A library was not reported.
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- 2026-10-18T06:36:41.000Z
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- 2026-10-18T06:36:41.000Z
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