← back to catalog · registered 2026-08-22 13:56

llmfan46/Omega-Evolution-27B-v2.1-uncensored-heretic-GGUF

llmfan46 27B GGUF second-order 262K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/llmfan46%2FOmega-Evolution-27B-v2.1-uncensored-heretic-GGUF"
Response includes
  • classification m3
  • files 12
  • hub_downloads_all_time 3,527
  • author_summary 211 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
4K
203 last 30d - cooling
Likes
0
Model age
5mo ago
created 2026-04-20
Downloads over time
Now3.5K→from342↑936%
1821.4K2.6K3.9K342 on Apr 153.5K on Oct 113.5K on Oct 10AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 65 snapshots · spans 179 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 225 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Quantizations
BF16 Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf qwen3_5 nsfw explicit roleplay unaligned dangerous ERP Other License heretic uncensored decensored

Related

Total size
188 GB
Files
12
Quantizations
7
Registered
2026-08-22 13:56
Last updated on HF
2026-04-20 09:55

Files by quantization

BF16 2 files 51.0 GB
Omega-Evolution-27B-v2.1-uncensored-heretic-BF16.gguf 50.1 GB 78ddcb05 download
Omega-Evolution-27B-v2.1-mmproj-BF16.gguf 888 MB 6d5c6b79 download
Q8_0 1 file 26.6 GB
Omega-Evolution-27B-v2.1-uncensored-heretic-Q8_0.gguf 26.6 GB e20d6e76 download
Q6_K 1 file 20.6 GB
Omega-Evolution-27B-v2.1-uncensored-heretic-Q6_K.gguf 20.6 GB 63dfef31 download
Q5_K 2 files 35.3 GB
Omega-Evolution-27B-v2.1-uncensored-heretic-Q5_K_M.gguf 17.9 GB 4657636a download
Omega-Evolution-27B-v2.1-uncensored-heretic-Q5_K_S.gguf 17.4 GB 49f7fe15 download
Q4_K 2 files 29.9 GB
Omega-Evolution-27B-v2.1-uncensored-heretic-Q4_K_M.gguf 15.4 GB 9e518d6a download
Omega-Evolution-27B-v2.1-uncensored-heretic-Q4_K_S.gguf 14.5 GB 1175a48b download
Q3_K 2 files 25.7 GB
Omega-Evolution-27B-v2.1-uncensored-heretic-Q3_K_L.gguf 13.4 GB 93d0af8e download
Omega-Evolution-27B-v2.1-uncensored-heretic-Q3_K_M.gguf 12.4 GB 74cba2f0 download
Auxiliary files 2 files 35.3 KB
README.md 32.9 KB 724e449c download
.gitattributes 2.36 KB 27315f19 download

README current version from Hugging Face


base_model:

  • llmfan46/Omega-Evolution-27B-v2.1-uncensored-heretic
    tags:
  • qwen3_5
  • nsfw
  • explicit
  • roleplay
  • unaligned
  • dangerous
  • ERP
  • Other License
  • heretic
  • uncensored
  • decensored
  • abliterated
  • ara
    license: apache-2.0

🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨

I can no longer upload new models unless I can cover the cost of additional storage.
I host 70+ free models as an independent contributor and this work is unpaid.
Without your support, no more new models can be uploaded.

🎉 Patreon (Monthly)  |  ☕ Ko-fi (One-time)

Every contribution goes directly toward Hugging Face storage fees to keep models free for everyone.


84% fewer refusals (15/100 Uncensored vs 92/100 Original) while preserving model quality (0.0127 KL divergence).

❤️ Support My Work

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

image/png

Platform Link What you get
🎉 Patreon Monthly support Priority model requests
☕ Ko-fi One-time tip My 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.


GGUF quantizations of llmfan46/Omega-Evolution-27B-v2.1-uncensored-heretic.

This is a decensored version of ReadyArt/Omega-Evolution-27B-v2.1, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method

Abliteration parameters

Parameter Value
start_layer_index 8
end_layer_index 53
preserve_good_behavior_weight 0.2421
steer_bad_behavior_weight 0.0008
overcorrect_relative_weight 1.0006
neighbor_count 12

Targeted components

  • attn.o_proj
  • attn.out_proj

Performance

Metric This model Original model (Omega-Evolution-27B-v2.1)
KL divergence 0.0127 0 (by definition)
Refusals ✅ 15/100 ❌ 92/100

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:

Tasks Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.8589 ± 0.0028
- humanities 2 none acc ↑ 0.8087 ± 0.0056
- formal_logic 1 none 0 acc ↑ 0.7460 ± 0.0389
- high_school_european_history 1 none 0 acc ↑ 0.8970 ± 0.0237
- high_school_us_history 1 none 0 acc ↑ 0.9608 ± 0.0136
- high_school_world_history 1 none 0 acc ↑ 0.9451 ± 0.0148
- international_law 1 none 0 acc ↑ 0.9339 ± 0.0227
- jurisprudence 1 none 0 acc ↑ 0.9259 ± 0.0253
- logical_fallacies 1 none 0 acc ↑ 0.9202 ± 0.0213
- moral_disputes 1 none 0 acc ↑ 0.8642 ± 0.0184
- moral_scenarios 1 none 0 acc ↑ 0.7453 ± 0.0146
- philosophy 1 none 0 acc ↑ 0.8746 ± 0.0188
- prehistory 1 none 0 acc ↑ 0.9012 ± 0.0166
- professional_law 1 none 0 acc ↑ 0.7125 ± 0.0116
- world_religions 1 none 0 acc ↑ 0.9181 ± 0.0210
- other 2 none acc ↑ 0.8735 ± 0.0057
- business_ethics 1 none 0 acc ↑ 0.8500 ± 0.0359
- clinical_knowledge 1 none 0 acc ↑ 0.8868 ± 0.0195
- college_medicine 1 none 0 acc ↑ 0.8382 ± 0.0281
- global_facts 1 none 0 acc ↑ 0.5800 ± 0.0496
- human_aging 1 none 0 acc ↑ 0.8296 ± 0.0252
- management 1 none 0 acc ↑ 0.9126 ± 0.0280
- marketing 1 none 0 acc ↑ 0.9573 ± 0.0133
- medical_genetics 1 none 0 acc ↑ 0.9800 ± 0.0141
- miscellaneous 1 none 0 acc ↑ 0.9425 ± 0.0083
- nutrition 1 none 0 acc ↑ 0.9085 ± 0.0165
- professional_accounting 1 none 0 acc ↑ 0.7979 ± 0.0240
- professional_medicine 1 none 0 acc ↑ 0.9449 ± 0.0139
- virology 1 none 0 acc ↑ 0.5542 ± 0.0387
- social sciences 2 none acc ↑ 0.9168 ± 0.0049
- econometrics 1 none 0 acc ↑ 0.8158 ± 0.0365
- high_school_geography 1 none 0 acc ↑ 0.9495 ± 0.0156
- high_school_government_and_politics 1 none 0 acc ↑ 0.9896 ± 0.0073
- high_school_macroeconomics 1 none 0 acc ↑ 0.9282 ± 0.0131
- high_school_microeconomics 1 none 0 acc ↑ 0.9748 ± 0.0102
- high_school_psychology 1 none 0 acc ↑ 0.9486 ± 0.0095
- human_sexuality 1 none 0 acc ↑ 0.9237 ± 0.0233
- professional_psychology 1 none 0 acc ↑ 0.8807 ± 0.0131
- public_relations 1 none 0 acc ↑ 0.7818 ± 0.0396
- security_studies 1 none 0 acc ↑ 0.8408 ± 0.0234
- sociology 1 none 0 acc ↑ 0.9552 ± 0.0146
- us_foreign_policy 1 none 0 acc ↑ 0.9400 ± 0.0239
- stem 2 none acc ↑ 0.8630 ± 0.0059
- abstract_algebra 1 none 0 acc ↑ 0.8200 ± 0.0386
- anatomy 1 none 0 acc ↑ 0.8519 ± 0.0307
- astronomy 1 none 0 acc ↑ 0.9671 ± 0.0145
- college_biology 1 none 0 acc ↑ 0.9861 ± 0.0098
- college_chemistry 1 none 0 acc ↑ 0.6800 ± 0.0469
- college_computer_science 1 none 0 acc ↑ 0.8200 ± 0.0386
- college_mathematics 1 none 0 acc ↑ 0.7300 ± 0.0446
- college_physics 1 none 0 acc ↑ 0.8627 ± 0.0342
- computer_security 1 none 0 acc ↑ 0.8600 ± 0.0349
- conceptual_physics 1 none 0 acc ↑ 0.9447 ± 0.0149
- electrical_engineering 1 none 0 acc ↑ 0.8414 ± 0.0304
- elementary_mathematics 1 none 0 acc ↑ 0.9101 ± 0.0147
- high_school_biology 1 none 0 acc ↑ 0.9484 ± 0.0126
- high_school_chemistry 1 none 0 acc ↑ 0.8522 ± 0.0250
- high_school_computer_science 1 none 0 acc ↑ 0.9300 ± 0.0256
- high_school_mathematics 1 none 0 acc ↑ 0.6778 ± 0.0285
- high_school_physics 1 none 0 acc ↑ 0.8543 ± 0.0288
- high_school_statistics 1 none 0 acc ↑ 0.8704 ± 0.0229
- machine_learning 1 none 0 acc ↑ 0.8036 ± 0.0377
Groups Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.8589 ± 0.0028
- humanities 2 none acc ↑ 0.8087 ± 0.0056
- other 2 none acc ↑ 0.8735 ± 0.0057
- social sciences 2 none acc ↑ 0.9168 ± 0.0049
- stem 2 none acc ↑ 0.8630 ± 0.0059

Heretic:

Tasks Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.8547 ± 0.0029
- humanities 2 none acc ↑ 0.7977 ± 0.0057
- formal_logic 1 none 0 acc ↑ 0.7222 ± 0.0401
- high_school_european_history 1 none 0 acc ↑ 0.8970 ± 0.0237
- high_school_us_history 1 none 0 acc ↑ 0.9657 ± 0.0128
- high_school_world_history 1 none 0 acc ↑ 0.9494 ± 0.0143
- international_law 1 none 0 acc ↑ 0.9339 ± 0.0227
- jurisprudence 1 none 0 acc ↑ 0.9074 ± 0.0280
- logical_fallacies 1 none 0 acc ↑ 0.9202 ± 0.0213
- moral_disputes 1 none 0 acc ↑ 0.8728 ± 0.0179
- moral_scenarios 1 none 0 acc ↑ 0.6972 ± 0.0154
- philosophy 1 none 0 acc ↑ 0.8842 ± 0.0182
- prehistory 1 none 0 acc ↑ 0.9012 ± 0.0166
- professional_law 1 none 0 acc ↑ 0.7060 ± 0.0116
- world_religions 1 none 0 acc ↑ 0.9064 ± 0.0223
- other 2 none acc ↑ 0.8758 ± 0.0056
- business_ethics 1 none 0 acc ↑ 0.8400 ± 0.0368
- clinical_knowledge 1 none 0 acc ↑ 0.8906 ± 0.0192
- college_medicine 1 none 0 acc ↑ 0.8324 ± 0.0285
- global_facts 1 none 0 acc ↑ 0.6000 ± 0.0492
- human_aging 1 none 0 acc ↑ 0.8296 ± 0.0252
- management 1 none 0 acc ↑ 0.9029 ± 0.0293
- marketing 1 none 0 acc ↑ 0.9530 ± 0.0139
- medical_genetics 1 none 0 acc ↑ 0.9700 ± 0.0171
- miscellaneous 1 none 0 acc ↑ 0.9438 ± 0.0082
- nutrition 1 none 0 acc ↑ 0.9118 ± 0.0162
- professional_accounting 1 none 0 acc ↑ 0.8050 ± 0.0236
- professional_medicine 1 none 0 acc ↑ 0.9559 ± 0.0125
- virology 1 none 0 acc ↑ 0.5663 ± 0.0386
- social sciences 2 none acc ↑ 0.9152 ± 0.0049
- econometrics 1 none 0 acc ↑ 0.8070 ± 0.0371
- high_school_geography 1 none 0 acc ↑ 0.9596 ± 0.0140
- high_school_government_and_politics 1 none 0 acc ↑ 0.9896 ± 0.0073
- high_school_macroeconomics 1 none 0 acc ↑ 0.9205 ± 0.0137
- high_school_microeconomics 1 none 0 acc ↑ 0.9706 ± 0.0110
- high_school_psychology 1 none 0 acc ↑ 0.9505 ± 0.0093
- human_sexuality 1 none 0 acc ↑ 0.9160 ± 0.0243
- professional_psychology 1 none 0 acc ↑ 0.8807 ± 0.0131
- public_relations 1 none 0 acc ↑ 0.7818 ± 0.0396
- security_studies 1 none 0 acc ↑ 0.8245 ± 0.0244
- sociology 1 none 0 acc ↑ 0.9602 ± 0.0138
- us_foreign_policy 1 none 0 acc ↑ 0.9500 ± 0.0219
- stem 2 none acc ↑ 0.8601 ± 0.0060
- abstract_algebra 1 none 0 acc ↑ 0.7900 ± 0.0409
- anatomy 1 none 0 acc ↑ 0.8593 ± 0.0300
- astronomy 1 none 0 acc ↑ 0.9671 ± 0.0145
- college_biology 1 none 0 acc ↑ 0.9861 ± 0.0098
- college_chemistry 1 none 0 acc ↑ 0.6600 ± 0.0476
- college_computer_science 1 none 0 acc ↑ 0.8200 ± 0.0386
- college_mathematics 1 none 0 acc ↑ 0.7100 ± 0.0456
- college_physics 1 none 0 acc ↑ 0.8333 ± 0.0371
- computer_security 1 none 0 acc ↑ 0.8500 ± 0.0359
- conceptual_physics 1 none 0 acc ↑ 0.9447 ± 0.0149
- electrical_engineering 1 none 0 acc ↑ 0.8345 ± 0.0310
- elementary_mathematics 1 none 0 acc ↑ 0.9180 ± 0.0141
- high_school_biology 1 none 0 acc ↑ 0.9516 ± 0.0122
- high_school_chemistry 1 none 0 acc ↑ 0.8276 ± 0.0266
- high_school_computer_science 1 none 0 acc ↑ 0.9200 ± 0.0273
- high_school_mathematics 1 none 0 acc ↑ 0.7037 ± 0.0278
- high_school_physics 1 none 0 acc ↑ 0.8543 ± 0.0288
- high_school_statistics 1 none 0 acc ↑ 0.8565 ± 0.0239
- machine_learning 1 none 0 acc ↑ 0.8036 ± 0.0377
Groups Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.8547 ± 0.0029
- humanities 2 none acc ↑ 0.7977 ± 0.0057
- other 2 none acc ↑ 0.8758 ± 0.0056
- social sciences 2 none acc ↑ 0.9152 ± 0.0049
- stem 2 none acc ↑ 0.8601 ± 0.0060

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


Quantizations

Filename Quant Description
Omega-Evolution-27B-v2.1-uncensored-heretic-BF16.gguf BF16 Full precision
Omega-Evolution-27B-v2.1-uncensored-heretic-Q8_0.gguf Q8_0 Near-lossless, recommended
Omega-Evolution-27B-v2.1-uncensored-heretic-Q6_K.gguf Q6_K Excellent quality
Omega-Evolution-27B-v2.1-uncensored-heretic-Q5_K_M.gguf Q5_K_M Good balance
Omega-Evolution-27B-v2.1-uncensored-heretic-Q5_K_SQwen3.5-27B-ultra-uncensored-heretic-v2-v2-Q5_K_S.gguf Q5_K_S Smaller Q5
Omega-Evolution-27B-v2.1-uncensored-heretic-Q4_K_M.gguf Q4_K_M Good for limited VRAM
Omega-Evolution-27B-v2.1-uncensored-heretic-Q4_K_S.gguf Q4_K_S Smaller Q4
Omega-Evolution-27B-v2.1-uncensored-heretic-Q3_K_L.gguf Q3_K_L Low VRAM, decent quality
Omega-Evolution-27B-v2.1-uncensored-heretic-Q3_K_M.gguf Q3_K_M Low VRAM, smaller

Vision Projector

Filename Quant Description
Omega-Evolution-27B-v2.1-mmproj-BF16.gguf BF16 Native precision

A Vision Projector File is Required for vision/multimodal capabilities. Use alongside any quantization above.

Usage

Works with llama.cpp, LM Studio, Ollama, and other GGUF-compatible tools.


😈 OMEGA EVOLUTION V2.1 😈

⚠️ 27B Parameters ⚠️

⚠️ Thinking works (RP prompts) ⚠️

Good model, but impersonates due to the base model.

Use OOC: Do not talk for me in a prompt.

Omega Subject

🔴 CLASSIFIED WARNINGS

  • This is a hybrid construct of Safeword Omega Directive, Safeword Omega Darker, and Brisk Evolution v0.45.
  • CONTENT WARNING: NSFW, Explicit, ERP, and Unaligned behavior are enabled by default.
  • Different Base Model We're using a different base model to tune on this time! Still Qwen 3.5 27B, but with some extra sauce.

⚙️ SYSTEM PARAMETERS

top_p 0.95
temp 0.9

🧪 ARCHITECTS

  • ConicCat ConicCat (Base Model)
  • GECFDO GECFDO (Dataset Generation & Quants)
  • Darkhn Darkhn (Dataset Cleanup Tool)
  • Sleep Deprived Sleep Deprived (Safeword Creator)
  • FrenzyBiscuit FrenzyBiscuit (Brisk Evolution Creator)
🔥 LICENSE: APACHE 2.0 (WITH MORAL DISCLAIMER) 🔥
You accept full responsibility for corruption. You are 18+. The architects are not liable for the depravity you unleash.

Generated in 2026

Current Contributor: ...

WE ARE WATCHING YOU. DO NOT LOOK BACK.

README history 4 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-04-20Update README.md3d72a2e32.9 KB
    Loading...
  2. 2026-04-20Update README.mdca64d9a32.9 KB
    Loading...
  3. 2026-04-20Update README.mda8b120c32.9 KB
    Loading...
  4. 2026-04-20Upload folder using huggingface_hub088e08132.9 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration