Model, weights and inference code Pinned revision
← Model overview · Complete scenario take index
Current ranking: EARS Steering v2
Emotion/style only. Content Enjoyment: 0%. Genuineness: 0%. These remain visible diagnostics, not reward terms. WER and speaker identity are separate qualification gates, not terms in this score.
Projected loudnessvn_VOLT_reg | 40.00% | high | 2.684 | 0.868 | n/a | n/a |
Arousalvn_AROU_reg | 35.00% | high | 2.437 | 1.127 | n/a | n/a |
Rantingvn_S_RANT_reg | 25.00% | high | 1.434 | 1.276 | n/a | n/a |
z = (raw_EARS_head − frozen_training_mean) / frozen_training_std high target = Φ(z); low target = 1 − Φ(z) Steering v2 = Σ(weight × normalized_target)
Portable CPU scoring function · Exact machine-readable weights and normalizations
Φ is a Gaussian CDF using the frozen EARS training statistics. This makes mixed emotion/style heads comparable; it is not an emotion probability. It compresses extreme scores, so raw means remain visible too. A pure-emotion condition has only its named emotion head, at 100%. A mixed anger/ranting scene uses 50% Anger + 50% Ranting. Each recipe score is the mean over all its takes, including failed takes.
Unchanged gates: ≥90% valid terminated takes; per-take WER ≤15% to count as valid; candidate mean WER ≤10%; paired reference cosine decline no worse than −0.05. Existing family-aware burst conditions still need all requested families detected in ≥60% of takes to qualify as reliable burst recipes. A high emotion/style score alone does not establish a successful scream or a correctly timed transition.
Predeclared objective, not a result: these weights will be used by the submitted full-coverage search. No observed scores or successful recipe are claimed for this target yet.
Full-coverage search submitted; awaiting completed evidence
This target is included in the complete 69-target search for both models. No completed recipe cells are published yet. Five generations of nine strategies are followed by new-text transfer, a fixed-wording CFG scan and sealed tests. This is not yet a demonstrated capability. The page updates automatically when evidence is complete.