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zenfro_v3
tope1129/zenfro_v3
zenfro_v3 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.
Cascade miner generator. Built on the full-context spectral stack, with a new prior: Grammar of Time (GoT).
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At a glance
- Access
- Public
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026
- SHA
- 9ffa6893
Model card
From the Hugging Face model README
zenfro_v3 — Grammar of Time
Cascade miner generator. Built on the full-context spectral stack, with a new prior: Grammar of Time (GoT).
Idea
Cascade holds the Toto2 model fixed and scores the data prior. Chronos-2, TempoPFN, ForecastPFN, and CauKer all win by composing temporal primitives — not by sampling a single ARIMA family. already covers many primitives as mutually exclusive draws. GoT allocates mass to productions that combine those stems:
| Production | Syntax | What the model learns |
|---|---|---|
got_compose | Stem ⊕ Stem [⊕ Stem] | Additive / multiplicative phrase structure |
got_splice | Stem ‖ Stem | Clause boundaries = change of generating law |
got_nested | Envelope ⋉ Carrier | Multi-scale nesting (slow modulates fast) |
got_causal | Driver ▷ Response | Lagged temporal causal chain |
Single-stem families from (AR2, integrated, OU-SV, spectral GP, …) are retained so the corpus still covers the dynamics-heavy mix that screened well locally.
Layout
zenfro_v3/
generator.py # Generator class (cascade.interface.DataGenerator)
config.json # active config (copy a variant here to A/B)
requirements.txt # numpy + scipy, hash-locked
configs/ # ten A/B variants
config_01.json … config_10.json
README.md
How to A/B the ten configs
# pick a variant as the active config
cp configs/config_03.json config.json
# contract checks (determinism, layout, deps)
cascade verify ./mywork/zenfro_v3
# local heat score against a held-out pool (needs .[train])
cascade score ./mywork/zenfro_v3 --pool-dir <held-out>
Config knobs
| key | role |
|---|---|
family_weights | mixture over stems + GoT productions |
got_depth | stems stacked in got_compose (2–4) |
got_mul_frac | fraction of compose rows that multiply instead of add |
got_splice_cuts | clause boundaries in got_splice |
got_nest_ratio | slow/fast scale span for got_nested |
got_causal_lag_frac | max lag as fraction of L for got_causal |
artifact_scale | multiplies measurement-artifact rates |
tr_* / gr_* / sa_clean_* | trend / growth / clean-season knobs |
Contract
- Deterministic under a fixed seed
- NumPy/SciPy only, code-only (no shipped weights)
- Full-context series (
min_length = max_length = 4096) - Prefetch producer thread overlaps generation with training
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026