llmfan46/Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved

<div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;"> <h2 style="color: white; margin: 0 0 10px 0;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2> <p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models unless I can cover the cost of additional storage.<br>I host <b>70+ free models</b> as an independent contributor and this work is unpaid.<br><b>Without your support, no more new models can be uploaded.</b></p> <p style="font-size: 20px; margin: 0;"> <a href="https://ko-fi.com/llmfan46" style="color: white; text-decoration: underline;">☕ Ko-fi</a> </p> <p style="font-size: 16px; margin: 10px 0 0 0;">Every contribution goes directly toward Hugging Face storage fees to keep models free for everyone.</p> </div>

86% fewer refusals (11/100 Uncensored vs 96/100 Original) while preserving model quality (0.0067 KL divergence).

❤️ Support My Work

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

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 extraltodeus/Qwen3.5-9B-Nikusui-v1, made using Heretic v1.4.0 with a variant of the Magnitude-Preserving Orthogonal Ablation (MPOA) method

Abliteration parameters

Targeted components

• —attn.out_proj
• —mlp.down_proj
• —attn.o_proj

Performance

MMLU test results:

<span style="color:blue">Original:</span>

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• —Total questions: 7021

• —Correct: 5426

• —Accuracy: 0.7728 (77.28%)

• —Parse failures: 0

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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)
• —highschoolpsychology: 0.9519 (257/270)
• —highschoolmacroeconomics: 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)
• —highschoolbiology: 0.9539 (145/152)
• —professional_accounting: 0.6573 (94/143)
• —clinical_knowledge: 0.8143 (114/140)
• —highschoolmicroeconomics: 0.9338 (127/136)
• —nutrition: 0.8296 (112/135)
• —professional_medicine: 0.8731 (117/134)
• —conceptual_physics: 0.8359 (107/128)
• —highschoolmathematics: 0.5433 (69/127)
• —human_aging: 0.7759 (90/116)
• —security_studies: 0.8750 (98/112)
• —highschoolstatistics: 0.7568 (84/111)
• —marketing: 0.9450 (103/109)
• —highschoolworld_history: 0.9245 (98/106)
• —sociology: 0.9126 (94/103)
• —highschoolgovernmentandpolitics: 0.9604 (97/101)
• —highschoolgeography: 0.9293 (92/99)
• —highschoolchemistry: 0.7629 (74/97)
• —highschoolus_history: 0.9368 (89/95)
• —virology: 0.5169 (46/89)
• —college_medicine: 0.7955 (70/88)
• —world_religions: 0.8750 (77/88)
• —highschoolphysics: 0.6548 (55/84)
• —electrical_engineering: 0.7160 (58/81)
• —astronomy: 0.9241 (73/79)
• —logical_fallacies: 0.8289 (63/76)
• —highschooleuropean_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)
• —highschoolcomputer_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)
• —usforeignpolicy: 0.9400 (47/50)
• —college_chemistry: 0.5532 (26/47)
• —abstract_algebra: 0.6383 (30/47)
• —business_ethics: 0.6957 (32/46)
• —collegecomputerscience: 0.8444 (38/45)
• —computer_security: 0.8605 (37/43)

<span style="color:darkgreen">Heretic:</span>

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• —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)
• —highschoolpsychology: 0.9519 (257/270)
• —highschoolmacroeconomics: 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)
• —highschoolbiology: 0.9539 (145/152)
• —professional_accounting: 0.6573 (94/143)
• —clinical_knowledge: 0.8143 (114/140)
• —highschoolmicroeconomics: 0.9338 (127/136)
• —nutrition: 0.8370 (113/135)
• —professional_medicine: 0.8582 (115/134)
• —conceptual_physics: 0.8359 (107/128)
• —highschoolmathematics: 0.5512 (70/127)
• —human_aging: 0.7759 (90/116)
• —security_studies: 0.8571 (96/112)
• —highschoolstatistics: 0.7387 (82/111)
• —marketing: 0.9450 (103/109)
• —highschoolworld_history: 0.9151 (97/106)
• —sociology: 0.9223 (95/103)
• —highschoolgovernmentandpolitics: 0.9505 (96/101)
• —highschoolgeography: 0.9394 (93/99)
• —highschoolchemistry: 0.7629 (74/97)
• —highschoolus_history: 0.9368 (89/95)
• —virology: 0.5169 (46/89)
• —college_medicine: 0.8068 (71/88)
• —world_religions: 0.8864 (78/88)
• —highschoolphysics: 0.6548 (55/84)
• —electrical_engineering: 0.7160 (58/81)
• —astronomy: 0.9241 (73/79)
• —logical_fallacies: 0.8421 (64/76)
• —highschooleuropean_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)
• —highschoolcomputer_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)
• —usforeignpolicy: 0.9600 (48/50)
• —college_chemistry: 0.5319 (25/47)
• —abstract_algebra: 0.6596 (31/47)
• —business_ethics: 0.6957 (32/46)
• —collegecomputerscience: 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

GGUF quantizations available here llmfan46/Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved-GGUF.

Nikusui - v1

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.