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cas-smo-v34
tope1129/cas-smo-v34
cas-smo-v34 is a machine learning model from tope1129. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Fork of cas-smo-v33 (itself a fork of king cascade-private/jenn11). Same playbook: arm unused families already in the body, take mass from oversupplied steplevel, keep pushing floor-biased censor.
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At a glance
- Access
- Public
- Created
- Aug 17, 2026
- Updated
- Aug 17, 2026
- SHA
- 694687f1
Model card
From the Hugging Face model README
cas-smo-v34
Fork of cas-smo-v33 (itself a fork of king cascade-private/jenn11).
Same playbook: arm unused families already in the body, take mass from
oversupplied step_level, keep pushing floor-biased censor.
Full-heat scores (this pool)
Pool: dataset/snapshots/2026-08-09-block-8805600, 0.5h heat, seed 0, CUDA.
| Generator | geomean | vs jenn11 |
|---|---|---|
| jenn11 (king) | 0.23924 | — |
| cas-smo-v33 | 0.23591 | -0.00333 |
| cas-smo-v34 | 0.23487 | -0.00437 |
Changes vs v33
| Lever | v33 | v34 | Why |
|---|---|---|---|
held_rate | 0 | 1.5% | Already in body + _CLEAN; near-constant / 0–3 grid steps. Frozen bike and policy-rate rows that step_level overshoots. |
weekly_demand | 0 | 1.5% | Already in body + _CLEAN; tight-interval weekly+daily cycles. |
step_level | 20.6% | 17.6% | Donor mass (held-run still oversupplied vs pool). |
censor_upper_frac | 0.25 | 0.12 | Continue floor-bias; pool holds sit in the bottom decile, ceiling plateaus are rare. |
Maximal-coupling dispatch means the +3pp specialist mass only reassigns ~that fraction of rows.
cascade score ./cas-smo-v34 \
--pool-dir ./dataset/snapshots/2026-08-09-block-8805600 \
--device cuda --skip-verify --seed 0
- Created
- Aug 17, 2026
- Updated
- Aug 17, 2026