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G4-MeroMero-26B-A4B-it-uncensored-heretic

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llmfan46/G4-MeroMero-26B-A4B-it-uncensored-heretic is an uncensored open-source model hosted on Hugging Face.

safetensorsLicense: apache-2.026Bgemma4hereticuncensoreddecensoredabliterateddataset:zerofata/Instruct-Animedataset:zerofata/Gemini-3.1-Pro-SmallWikidataset:zerofata/Gemini-3.1-Pro-GLM5-Charactersdataset:zerofata/Roleplay-Anime-Characters
README.md说明 / 使用方法

license: apache-2.0 datasets:

  • zerofata/Instruct-Anime
  • zerofata/Gemini-3.1-Pro-SmallWiki
  • zerofata/Gemini-3.1-Pro-GLM5-Characters
  • zerofata/Roleplay-Anime-Characters base_model:
  • zerofata/G4-MeroMero-26B-A4B tags:
  • heretic
  • uncensored
  • decensored
  • abliterated


88% fewer refusals (12/100 Uncensored vs 99/100 Original) while preserving model quality (0.0152 KL divergence).

❤️ Support My Work

Creating these models takes significant time, work and compute. If you find them useful consider supporting me:

image/png

PlatformLinkWhat you get
🎉 PatreonMonthly supportPriority model requests
☕ Ko-fiOne-time tipMy eternal gratitude

Your help will motivate me and would go into further improving my workflow and coverings fees for storage, compute and may even help uncensoring bigger model with rental Cloud GPUs.


This is a decensored version of zerofata/G4-MeroMero-26B-A4B, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method

Abliteration parameters

ParameterValue
start_layer_index15
end_layer_index26
preserve_good_behavior_weight0.3274
steer_bad_behavior_weight0.0005
overcorrect_relative_weight0.6647
neighbor_count15

Targeted components

  • attn.o_proj

Performance

MetricThis modelOriginal model (G4-MeroMero-26B-A4B)
KL divergence0.01520 (by definition)
Refusals✅ 12/100❌ 99/100

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: 5758

  • Accuracy: 0.8201 (82.01%)

  • Parse failures: 9

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

Tested subject scores:

  • professional_law: 0.6841 (537/785)
  • moral_scenarios: 0.6991 (309/442)
  • miscellaneous: 0.9191 (352/383)
  • professional_psychology: 0.8829 (279/316)
  • high_school_psychology: 0.9556 (258/270)
  • high_school_macroeconomics: 0.8934 (176/197)
  • elementary_mathematics: 0.8804 (162/184)
  • moral_disputes: 0.8333 (145/174)
  • prehistory: 0.9070 (156/172)
  • philosophy: 0.8365 (133/159)
  • high_school_biology: 0.9605 (146/152)
  • professional_accounting: 0.7692 (110/143)
  • clinical_knowledge: 0.8714 (122/140)
  • high_school_microeconomics: 0.9265 (126/136)
  • nutrition: 0.8815 (119/135)
  • professional_medicine: 0.8433 (113/134)
  • conceptual_physics: 0.8672 (111/128)
  • high_school_mathematics: 0.4803 (61/127)
  • human_aging: 0.7931 (92/116)
  • security_studies: 0.7946 (89/112)
  • high_school_statistics: 0.8018 (89/111)
  • marketing: 0.9725 (106/109)
  • high_school_world_history: 0.8962 (95/106)
  • sociology: 0.9029 (93/103)
  • high_school_government_and_politics: 0.9505 (96/101)
  • high_school_geography: 0.9394 (93/99)
  • high_school_chemistry: 0.8144 (79/97)
  • high_school_us_history: 0.9158 (87/95)
  • virology: 0.5393 (48/89)
  • college_medicine: 0.8068 (71/88)
  • world_religions: 0.8636 (76/88)
  • high_school_physics: 0.7024 (59/84)
  • electrical_engineering: 0.7901 (64/81)
  • astronomy: 0.9114 (72/79)
  • logical_fallacies: 0.8158 (62/76)
  • high_school_european_history: 0.9041 (66/73)
  • anatomy: 0.8451 (60/71)
  • college_biology: 0.9219 (59/64)
  • human_sexuality: 0.8594 (55/64)
  • formal_logic: 0.6875 (44/64)
  • public_relations: 0.7049 (43/61)
  • international_law: 0.9333 (56/60)
  • college_physics: 0.7544 (43/57)
  • college_mathematics: 0.6182 (34/55)
  • econometrics: 0.7407 (40/54)
  • jurisprudence: 0.8679 (46/53)
  • high_school_computer_science: 0.9423 (49/52)
  • machine_learning: 0.8462 (44/52)
  • medical_genetics: 0.9216 (47/51)
  • global_facts: 0.5294 (27/51)
  • management: 0.9000 (45/50)
  • us_foreign_policy: 0.9400 (47/50)
  • college_chemistry: 0.5532 (26/47)
  • abstract_algebra: 0.7234 (34/47)
  • business_ethics: 0.7826 (36/46)
  • college_computer_science: 0.8000 (36/45)
  • computer_security: 0.8140 (35/43)

Heretic:

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

  • Total questions: 7021

  • Correct: 5698

  • Accuracy: 0.8116 (81.16%)

  • Parse failures: 6

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

Tested subject scores:

  • professional_law: 0.6510 (511/785)
  • moral_scenarios: 0.7059 (312/442)
  • miscellaneous: 0.9164 (351/383)
  • professional_psychology: 0.8861 (280/316)
  • high_school_psychology: 0.9519 (257/270)
  • high_school_macroeconomics: 0.8985 (177/197)
  • elementary_mathematics: 0.8696 (160/184)
  • moral_disputes: 0.8276 (144/174)
  • prehistory: 0.8953 (154/172)
  • philosophy: 0.8428 (134/159)
  • high_school_biology: 0.9539 (145/152)
  • professional_accounting: 0.6853 (98/143)
  • clinical_knowledge: 0.9000 (126/140)
  • high_school_microeconomics: 0.9265 (126/136)
  • nutrition: 0.8815 (119/135)
  • professional_medicine: 0.8134 (109/134)
  • conceptual_physics: 0.8516 (109/128)
  • high_school_mathematics: 0.4803 (61/127)
  • human_aging: 0.8276 (96/116)
  • security_studies: 0.7946 (89/112)
  • high_school_statistics: 0.7658 (85/111)
  • marketing: 0.9725 (106/109)
  • high_school_world_history: 0.8868 (94/106)
  • sociology: 0.8932 (92/103)
  • high_school_government_and_politics: 0.9505 (96/101)
  • high_school_geography: 0.9394 (93/99)
  • high_school_chemistry: 0.7526 (73/97)
  • high_school_us_history: 0.9158 (87/95)
  • virology: 0.5169 (46/89)
  • college_medicine: 0.8409 (74/88)
  • world_religions: 0.8750 (77/88)
  • high_school_physics: 0.6786 (57/84)
  • electrical_engineering: 0.8025 (65/81)
  • astronomy: 0.9114 (72/79)
  • logical_fallacies: 0.7763 (59/76)
  • high_school_european_history: 0.8904 (65/73)
  • anatomy: 0.8732 (62/71)
  • college_biology: 0.8906 (57/64)
  • human_sexuality: 0.9219 (59/64)
  • formal_logic: 0.6875 (44/64)
  • public_relations: 0.7213 (44/61)
  • international_law: 0.9333 (56/60)
  • college_physics: 0.6842 (39/57)
  • college_mathematics: 0.5636 (31/55)
  • econometrics: 0.7222 (39/54)
  • jurisprudence: 0.8491 (45/53)
  • high_school_computer_science: 0.9423 (49/52)
  • machine_learning: 0.8077 (42/52)
  • medical_genetics: 0.9216 (47/51)
  • global_facts: 0.4706 (24/51)
  • management: 0.8800 (44/50)
  • us_foreign_policy: 0.9400 (47/50)
  • college_chemistry: 0.4894 (23/47)
  • abstract_algebra: 0.7447 (35/47)
  • business_ethics: 0.8261 (38/46)
  • college_computer_science: 0.8222 (37/45)
  • computer_security: 0.8605 (37/43)

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

GGUF Version

GGUF quantizations available here llmfan46/G4-MeroMero-26B-A4B-it-uncensored-heretic-GGUF.


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来源与版本

作者
llmfan46
最近更新
2026/05/22
最新创建
2026/05/22
HF 趋势
147
数据快照
2026/09/30
版本
未知
许可证
apache-2.0