{
  "schema": "humaneness17-evolutionary-manual.v1",
  "model": "laion/Humaneness-Voice-Large-1.7",
  "model_revision": "dd5ce150b435fc3c07b6f71aa41d8c98918c0ac3",
  "model_local": "/e/scratch/laionize/schuhmann1/hvs_large13_gemini_intense_8gpu_20261103/release_1_7_20261104/bundle",
  "model_condition": "Merged root weights; no extraLoRA or reference audio",
  "groups": {
    "emotion": 40,
    "talking_style": 15,
    "vocal_burst": 18
  },
  "languages": [
    "en",
    "de",
    "fr",
    "es",
    "nl"
  ],
  "cells": {
    "emotion_style": 275,
    "vocal_burst": 180
  },
  "emotion_conditions_for_bursts": [
    "no explicit matching emotion",
    "fixed appropriate emotion"
  ],
  "reference": null,
  "audio_context": null,
  "generations": 3,
  "population": 9,
  "parents": 3,
  "children_per_parent": 3,
  "search_texts": 3,
  "search_seeds": [
    1701,
    1702
  ],
  "validation_texts": 2,
  "validation_seeds": [
    1701,
    1702
  ],
  "sealed_texts": 2,
  "sealed_seeds": [
    2701,
    2702,
    2703
  ],
  "CFG_grid": [
    1.0,
    1.5,
    2.0,
    2.5,
    3.0,
    4.0,
    5.0
  ],
  "temperature": 1.0,
  "top_p": 0.95,
  "top_k": 50,
  "repetition_penalty": 1.0,
  "max_direction_characters": 650,
  "timing_formats": [
    "round semicolon observed training",
    "legacy square duration control"
  ],
  "emotion_reward": "((2*Phi(targetz)+Phi(genuinenessz)+Phi(blendz))/4)/(1+WER)",
  "Content_Enjoyment_reward_weight": 0,
  "burst_reward": "Max-envelope confidence-weighted target-classTop3time in actual between-sentence word-anchored window, normalized/capped by desired duration, penalized for excess accepted event time and multiplied by1/(1+WER)",
  "burst_word_window": "Exact first and second sentence anchors in recognized timestamped words; no nominal-time fallback. Window begins at first speech end minus40ms and ends at min(second speech start plus40ms, first end+desired duration+240ms).",
  "speech_QA": {
    "take_max_WER": 0.15,
    "candidate_mean_max_WER": 0.1,
    "candidate_min_valid_fraction": 0.9,
    "natural_termination_required": true
  },
  "burst_recommendation_QA": {
    "measurable_anchor_fraction": 0.9,
    "detector_supported_fraction": 0.6666666666666666,
    "min_mean_reward": 0.1,
    "min_reward_lift_over_sealed_pause_control": 0.05,
    "prediction_threshold_not_a_human_truth_claim": true
  },
  "sealed_baseline": "Emotion/style:initialfixedrecipeCFG2.5. Bursts:matched-duration pause with the same surrounding emotion condition.",
  "scoring": "Humaneness EARS Medium + Parakeet, plus independent commercial768d x3five-head19-class classifier and v2locator for bursts",
  "local_mutator": "Cached Gemma4-e4b; no external API calls. Exact model proposal attempts and deterministic fallback lineage retained.",
  "batch_selection": "Allocated canary testsB1/B2/B6 and freezes one production maximum; actual batch composition and per-rowRNG always recorded. No promise of B1/batched bitwise identity.",
  "all_samples_saved_before_scores": true,
  "storage": "SQLiteBLOB journals store exact codec arrays, float32PCM, MP3, raw scores, full prompts, rejected attempts and all sampling settings; no loose clip tree.",
  "world": 16,
  "gpu_budget_hours": {
    "canary": 8,
    "emotion_style": 480,
    "vocal_burst": 320
  },
  "max_allocations": {
    "emotion_style": 3,
    "vocal_burst": 2
  },
  "active_seconds_per_allocation": 33000,
  "deadline_hours": 72,
  "automatic_publication": "LAION public staticSpace and generated-MP3dataset; agent recipes plus model links, incremental provisional/confirmed labels",
  "source_split_caveat": "English/German historical texts are disjoint within this search, not globally unseen project data. All sealed results are withheld from mutations."
}