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86% fewer refusals (11/100 Uncensored vs 96/100 Original) while preserving model quality (0.0067 KL divergence).❤️ Support My Work
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Abliteration parameters
Parameter Value direction_index 21.14 attn.out_proj.max_weight 1.90 attn.out_proj.max_weight_position 20.21 attn.out_proj.min_weight 1.38 attn.out_proj.min_weight_distance 20.35 mlp.down_proj.max_weight 1.96 mlp.down_proj.max_weight_position 19.78 mlp.down_proj.min_weight 1.22 mlp.down_proj.min_weight_distance 12.52 attn.o_proj.max_weight 1.83 attn.o_proj.max_weight_position 19.22 attn.o_proj.min_weight 0.47 attn.o_proj.min_weight_distance 23.77
Targeted components
attn.out_proj
mlp.down_proj
attn.o_proj
Performance
Metric This model Original model (Qwen3.5-9B-Nikusui-v1 ) KL divergence 0.0067 0 (by definition) Refusals ✅ 11/100 ❌ 96/100
MMLU test results:
Original:
============================================================
Total questions: 7021
Correct: 5426
Accuracy: 0.7728 (77.28%)
Parse failures: 0
============================================================
Tested subject scores:
professional_law: 0.6140 (482/785)
moral_scenarios: 0.4796 (212/442)
miscellaneous: 0.8825 (338/383)
professional_psychology: 0.8259 (261/316)
high_school_psychology: 0.9519 (257/270)
high_school_macroeconomics: 0.8426 (166/197)
elementary_mathematics: 0.7011 (129/184)
moral_disputes: 0.7989 (139/174)
prehistory: 0.8547 (147/172)
philosophy: 0.7862 (125/159)
high_school_biology: 0.9539 (145/152)
professional_accounting: 0.6573 (94/143)
clinical_knowledge: 0.8143 (114/140)
high_school_microeconomics: 0.9338 (127/136)
nutrition: 0.8296 (112/135)
professional_medicine: 0.8731 (117/134)
conceptual_physics: 0.8359 (107/128)
high_school_mathematics: 0.5433 (69/127)
human_aging: 0.7759 (90/116)
security_studies: 0.8750 (98/112)
high_school_statistics: 0.7568 (84/111)
marketing: 0.9450 (103/109)
high_school_world_history: 0.9245 (98/106)
sociology: 0.9126 (94/103)
high_school_government_and_politics: 0.9604 (97/101)
high_school_geography: 0.9293 (92/99)
high_school_chemistry: 0.7629 (74/97)
high_school_us_history: 0.9368 (89/95)
virology: 0.5169 (46/89)
college_medicine: 0.7955 (70/88)
world_religions: 0.8750 (77/88)
high_school_physics: 0.6548 (55/84)
electrical_engineering: 0.7160 (58/81)
astronomy: 0.9241 (73/79)
logical_fallacies: 0.8289 (63/76)
high_school_european_history: 0.8767 (64/73)
anatomy: 0.8028 (57/71)
college_biology: 0.9219 (59/64)
human_sexuality: 0.8125 (52/64)
formal_logic: 0.6406 (41/64)
public_relations: 0.7377 (45/61)
international_law: 0.9000 (54/60)
college_physics: 0.6316 (36/57)
college_mathematics: 0.5455 (30/55)
econometrics: 0.7037 (38/54)
jurisprudence: 0.8679 (46/53)
high_school_computer_science: 0.8269 (43/52)
machine_learning: 0.6346 (33/52)
medical_genetics: 0.9020 (46/51)
global_facts: 0.4510 (23/51)
management: 0.9400 (47/50)
us_foreign_policy: 0.9400 (47/50)
college_chemistry: 0.5532 (26/47)
abstract_algebra: 0.6383 (30/47)
business_ethics: 0.6957 (32/46)
college_computer_science: 0.8444 (38/45)
computer_security: 0.8605 (37/43)
Heretic:
============================================================
Total questions: 7021
Correct: 5413
Accuracy: 0.7710 (77.10%)
Parse failures: 0
============================================================
Tested subject scores:
professional_law: 0.6089 (478/785)
moral_scenarios: 0.4774 (211/442)
miscellaneous: 0.8877 (340/383)
professional_psychology: 0.8291 (262/316)
high_school_psychology: 0.9519 (257/270)
high_school_macroeconomics: 0.8528 (168/197)
elementary_mathematics: 0.7011 (129/184)
moral_disputes: 0.7989 (139/174)
prehistory: 0.8488 (146/172)
philosophy: 0.7673 (122/159)
high_school_biology: 0.9539 (145/152)
professional_accounting: 0.6573 (94/143)
clinical_knowledge: 0.8143 (114/140)
high_school_microeconomics: 0.9338 (127/136)
nutrition: 0.8370 (113/135)
professional_medicine: 0.8582 (115/134)
conceptual_physics: 0.8359 (107/128)
high_school_mathematics: 0.5512 (70/127)
human_aging: 0.7759 (90/116)
security_studies: 0.8571 (96/112)
high_school_statistics: 0.7387 (82/111)
marketing: 0.9450 (103/109)
high_school_world_history: 0.9151 (97/106)
sociology: 0.9223 (95/103)
high_school_government_and_politics: 0.9505 (96/101)
high_school_geography: 0.9394 (93/99)
high_school_chemistry: 0.7629 (74/97)
high_school_us_history: 0.9368 (89/95)
virology: 0.5169 (46/89)
college_medicine: 0.8068 (71/88)
world_religions: 0.8864 (78/88)
high_school_physics: 0.6548 (55/84)
electrical_engineering: 0.7160 (58/81)
astronomy: 0.9241 (73/79)
logical_fallacies: 0.8421 (64/76)
high_school_european_history: 0.8767 (64/73)
anatomy: 0.8028 (57/71)
college_biology: 0.9375 (60/64)
human_sexuality: 0.8125 (52/64)
formal_logic: 0.6250 (40/64)
public_relations: 0.7049 (43/61)
international_law: 0.8667 (52/60)
college_physics: 0.6316 (36/57)
college_mathematics: 0.5455 (30/55)
econometrics: 0.6667 (36/54)
jurisprudence: 0.8679 (46/53)
high_school_computer_science: 0.8269 (43/52)
machine_learning: 0.6346 (33/52)
medical_genetics: 0.8824 (45/51)
global_facts: 0.4314 (22/51)
management: 0.9400 (47/50)
us_foreign_policy: 0.9600 (48/50)
college_chemistry: 0.5319 (25/47)
abstract_algebra: 0.6596 (31/47)
business_ethics: 0.6957 (32/46)
college_computer_science: 0.8444 (38/45)
computer_security: 0.8372 (36/43)
MMLU - Massive Multitask Language Understanding, multiple-choice questions across 57 subjects (math, history, law, medicine, etc.).
GGUF Version
Nikusui - v1
nikusui2 Nikusui is a
manually abliterated Qwen3.5-9B-Base model using a custom tool in the making and based on
Anthropic's Jacobian-Lens .
The tool is currently still a work in progress but I intend to share it. I just need to sleep after spend three days on this. 😴
It will allow to save a model while retaining the effects of any modification made in the J-Space. Suppression and replacement.
Nikusui-v1 is the very first created by this tool and is a fully working proof of concept.
I haven't decided a name for the tool yet 🤭 J-Wash it is!
If you're curious : the file "edit_meta.json" contains the settings I used in my tool to edit the base model and will give you more clues about why it behaves like it does.
All modifications were made on
Qwen/Qwen3.5-9B-Base directly.
THIS MODEL WILL SPONTANEOUSLY PRODUCE HARMFUL CONTENT ! Or at least offer a spanking.
In the name of science.
