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This is a decensored version of virtuous7373/Gemma-4-Harmonia-31B, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method

Abliteration parameters

Targeted components

• attn.o_proj

Performance

Lower refusals indicate fewer content restrictions, while lower KL divergence indicates more closeness to the original model's baseline. Higher refusals cause more rejections, objections, pushbacks, lecturing, censorship, softening and deflections.

MMLU test results:

Original:

============================================================

• Total questions: 7021

• Correct: 6014

• Accuracy: 0.8566 (85.66%)

• Parse failures: 22

============================================================

Tested subject scores:

• professional_law: 0.7592 (596/785)
• moral_scenarios: 0.8394 (371/442)
• miscellaneous: 0.9243 (354/383)
• professional_psychology: 0.8797 (278/316)
• high_school_psychology: 0.9593 (259/270)
• high_school_macroeconomics: 0.9137 (180/197)
• elementary_mathematics: 0.9239 (170/184)
• moral_disputes: 0.8678 (151/174)
• prehistory: 0.9128 (157/172)
• philosophy: 0.8553 (136/159)
• high_school_biology: 0.9605 (146/152)
• professional_accounting: 0.7902 (113/143)
• clinical_knowledge: 0.8929 (125/140)
• high_school_microeconomics: 0.9632 (131/136)
• nutrition: 0.8815 (119/135)
• professional_medicine: 0.9104 (122/134)
• conceptual_physics: 0.9062 (116/128)
• high_school_mathematics: 0.5669 (72/127)
• human_aging: 0.8448 (98/116)
• security_studies: 0.8571 (96/112)
• high_school_statistics: 0.8649 (96/111)
• marketing: 0.9725 (106/109)
• high_school_world_history: 0.9528 (101/106)
• sociology: 0.9223 (95/103)
• high_school_government_and_politics: 0.9406 (95/101)
• high_school_geography: 0.9596 (95/99)
• high_school_chemistry: 0.7835 (76/97)
• high_school_us_history: 0.9053 (86/95)
• virology: 0.5056 (45/89)
• college_medicine: 0.8636 (76/88)
• world_religions: 0.9205 (81/88)
• high_school_physics: 0.7619 (64/84)
• electrical_engineering: 0.8395 (68/81)
• astronomy: 0.9241 (73/79)
• logical_fallacies: 0.8816 (67/76)
• high_school_european_history: 0.8904 (65/73)
• anatomy: 0.8732 (62/71)
• college_biology: 0.9844 (63/64)
• human_sexuality: 0.8750 (56/64)
• formal_logic: 0.7031 (45/64)
• public_relations: 0.7213 (44/61)
• international_law: 0.8667 (52/60)
• college_physics: 0.7193 (41/57)
• college_mathematics: 0.7818 (43/55)
• econometrics: 0.7407 (40/54)
• jurisprudence: 0.8302 (44/53)
• high_school_computer_science: 0.9808 (51/52)
• machine_learning: 0.8462 (44/52)
• medical_genetics: 0.9020 (46/51)
• global_facts: 0.5686 (29/51)
• management: 0.8800 (44/50)
• us_foreign_policy: 0.9800 (49/50)
• college_chemistry: 0.6170 (29/47)
• abstract_algebra: 0.7447 (35/47)
• business_ethics: 0.8478 (39/46)
• college_computer_science: 0.9333 (42/45)
• computer_security: 0.8605 (37/43)

Heretic:

============================================================

• Total questions: 7021

• Correct: 5936

• Accuracy: 0.8455 (84.55%)

• Parse failures: 17

============================================================

Tested subject scores:

• professional_law: 0.7121 (559/785)
• moral_scenarios: 0.8281 (366/442)
• miscellaneous: 0.9191 (352/383)
• professional_psychology: 0.8703 (275/316)
• high_school_psychology: 0.9593 (259/270)
• high_school_macroeconomics: 0.9188 (181/197)
• elementary_mathematics: 0.9348 (172/184)
• moral_disputes: 0.8448 (147/174)
• prehistory: 0.9128 (157/172)
• philosophy: 0.8113 (129/159)
• high_school_biology: 0.9605 (146/152)
• professional_accounting: 0.7902 (113/143)
• clinical_knowledge: 0.8786 (123/140)
• high_school_microeconomics: 0.9559 (130/136)
• nutrition: 0.8815 (119/135)
• professional_medicine: 0.9030 (121/134)
• conceptual_physics: 0.8828 (113/128)
• high_school_mathematics: 0.5433 (69/127)
• human_aging: 0.8448 (98/116)
• security_studies: 0.8571 (96/112)
• high_school_statistics: 0.8559 (95/111)
• marketing: 0.9817 (107/109)
• high_school_world_history: 0.9528 (101/106)
• sociology: 0.9223 (95/103)
• high_school_government_and_politics: 0.9406 (95/101)
• high_school_geography: 0.9596 (95/99)
• high_school_chemistry: 0.7835 (76/97)
• high_school_us_history: 0.8947 (85/95)
• virology: 0.5056 (45/89)
• college_medicine: 0.8295 (73/88)
• world_religions: 0.9205 (81/88)
• high_school_physics: 0.7619 (64/84)
• electrical_engineering: 0.8148 (66/81)
• astronomy: 0.9367 (74/79)
• logical_fallacies: 0.8947 (68/76)
• high_school_european_history: 0.8630 (63/73)
• anatomy: 0.8873 (63/71)
• college_biology: 0.9844 (63/64)
• human_sexuality: 0.8750 (56/64)
• formal_logic: 0.7031 (45/64)
• public_relations: 0.6885 (42/61)
• international_law: 0.8667 (52/60)
• college_physics: 0.7193 (41/57)
• college_mathematics: 0.7455 (41/55)
• econometrics: 0.7407 (40/54)
• jurisprudence: 0.8113 (43/53)
• high_school_computer_science: 0.9808 (51/52)
• machine_learning: 0.8077 (42/52)
• medical_genetics: 0.9020 (46/51)
• global_facts: 0.5686 (29/51)
• management: 0.8800 (44/50)
• us_foreign_policy: 0.9600 (48/50)
• college_chemistry: 0.6383 (30/47)
• abstract_algebra: 0.7447 (35/47)
• business_ethics: 0.8478 (39/46)
• college_computer_science: 0.9333 (42/45)
• computer_security: 0.8372 (36/43)

MMLU - Massive Multitask Language Understanding, multiple-choice questions across 57 subjects (math, history, law, medicine, etc.).

GGUF Version

GGUF quantizations available here llmfan46/Gemma-4-Harmonia-31B-it-uncensored-heretic-GGUF.

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Harmonious Synthesis

Multi-Stage Fusion Protocol

Methodological Innovations

Model Lineage & Ingredients

Merge Blueprint

yaml
Copy code
name: clever-basename

merge_method: nullspace
base_model: ./gemma-4-31B-base

models:
  - model: ./Gemma4-GarnetV2-31B
    parameters:
      weight: 1.0

parameters:
  protect_base: true
  nr: 256

tokenizer:
  source: base
chat_template: auto

dtype: float32
out_dtype: bfloat16
---
name: clever-intname
merge_method: cabs

base_model: ./clever-basename

models:
  - model: ./clever-basename

  - model: ./G4-MeroMero-31B-uncensored-heretic
    parameters:
      weight: 0.6
      n_val: 16
      m_val: 32
  - model: ./Gemma-4-Gembrain-31B-heretic
    parameters:
      weight: 0.4
      n_val: 11
      m_val: 33

default_n_val: 8
default_m_val: 32

pruning_order:
  - ./G4-MeroMero-31B-uncensored-heretic
  - ./Gemma-4-Gembrain-31B-heretic

dtype: float32
out_dtype: bfloat16

tokenizer:
  source: union

chat_template: auto
---
name: Harmonia

merge_method: actmat

base_model: ./gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic

models:
  - model: ./gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
  - model: ./LatitudeGames-Equinox-31B
    parameters:
      weight: 1
  - model: ./clever-intname
    parameters:
      weight: 1
  - model: ./Fabled-Gemma4-31B
    parameters:
      weight: 1

parameters:
  epsilon: 1e-6

tokenizer:
  source: "union"

dtype: bfloat16
out_dtype: bfloat16

chat_template: auto

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