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sidbaines/scimt-dispatch-costsweep-v2-gemma
scimt-dispatch-costsweep-v2-gemma is a machine learning model from sidbaines. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Responses of the charter-cost sweep v2 -- the trained-clause build and the two held-out builds (weekly limit, deferrals) -- served to the dispatch campaign's gemma-3 rows (science-of-midtraining; sweep code and scores…
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Updated Sep 14, 2026
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From the Hugging Face model README
Responses of the charter-cost sweep v2 -- the trained-clause build and the two held-out builds
(weekly limit, deferrals) -- served to the dispatch campaign's gemma-3 rows (science-of-midtraining;
sweep code and scores in experiments/prior_coins/dispatch_final_v1/costsweep_v2/ on
sid/dispatch-final-v1, runner in experiments/prior_coins/dispatch_v5/pod/ on
sid/dispatch-harder-episodes). Public at the repo owner's request (2026-09-14).
Layout: <profile>/<arm>/costsweep_v2_all_v1/
eval/<battery>/<endpoint>/responses.jsonl (+ EVAL_COMPLETE.json), batteries costsweep_v2,
costsweep_v2_weekly, costsweep_v2_deferrals; endpoints pre_aft and campaign-<cell> for the
step-512 adapters of cells agreement / mixed_coin / charter_only (mixed_coin is the corrected #1c
balanced 2% draw from the gemma repair prefix)*.json -- per-arm run receiptsRows: gemma3_27b_190m/{charter,coin,control} (one H200), gemma3_12b_50m_4ep/{charter,coin,control}
(one H100). Prompts and episode records: sidbaines/scimt-dispatch-harder-episodes-data
@ 0acae8c6, releases/dispatch-v5-aft/eval/<battery>/.