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philbert440/Qwen3.6-27B-Uncensored-Aggressive

philbert440 Qwen 28B multimodal
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Response includes
  • classification m1
  • files 28
  • benchmarks 11 entries
  • hub_downloads_all_time 651
  • author_summary 20 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
651
27 last 30d - cooling
Likes
3
Descendants
2
in 2 direct forks
Model age
3mo ago
created 2026-06-25
Downloads over time
Now659→from13↑4,969%
024148272413 on Jun 24659 on Oct 11JunJulAugSepOct
Jun 24 → Oct 11 · 55 snapshots · spans 109 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1.2 UGI
Hazardous 4.7 UGI
Natural Intelligence 33.16 UGI
Political lean -20.0% UGI
Sensitive-Info 26.98 UGI
SocPol 2.9 UGI
UGI 27.15 UGI
Willingness (10) 2.8 UGI
W10-Adherence 1.5 UGI
W10-Direct 4 UGI
Writing 42.47 UGI

Genealogy 2 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 · 56 downloads combined

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

Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text uncensored abliterated heretic vision-language multimodal conversational base_model:Qwen/Qwen3.6-27B base_model:finetune:Qwen/Qwen3.6-27B

Related

Total size
51.7 GB
Files
28
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-03 03:22

Files by quantization

Auxiliary files 28 files 51.8 GB
model-00005-of-00012.safetensors 4.64 GB ce6303e6 download
model-00008-of-00012.safetensors 4.63 GB 2a91b743 download
model-00011-of-00012.safetensors 4.62 GB abd4a17f download
model-00003-of-00012.safetensors 4.62 GB 19cb7a52 download
model-00009-of-00012.safetensors 4.62 GB 9ca5559b download
model-00010-of-00012.safetensors 4.59 GB 7bba84ea download
model-00007-of-00012.safetensors 4.59 GB e1e3397f download
model-00006-of-00012.safetensors 4.58 GB 0be14def download
model-00004-of-00012.safetensors 4.58 GB 2dc66dc6 download
model-00002-of-00012.safetensors 4.51 GB 2f1db84c download
model-00012-of-00012.safetensors 2.60 GB 2ffc8ca6 download
model-00001-of-00012.safetensors 2.37 GB 994d372d download
model-mtp.safetensors 810 MB ecba8ef1 download
tokenizer.json 12.2 MB 5f9e4d49 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 109 KB 86f172f6 download
tokenizer_config.json 16.3 KB 28d96ff3 download
LICENSE 11.1 KB 1d5180a4 download
chat_template.jinja 7.58 KB a8755d82 download
config.json 4.21 KB 9f3dd1b1 download
README.md 1.56 KB 3b1e663e download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.16 KB 33818c7f download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 202 B 023756cf download
configuration.json 51.0 B 3a6d4256 download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen3.6-27B
pipeline_tag: image-text-to-text
library_name: transformers
tags:

  • uncensored
  • abliterated
  • heretic
  • qwen3_5
  • vision-language
  • multimodal

Qwen3.6 27B Uncensored Aggressive

The most-open Qwen3.6-27B uncensored tier — BF16 source checkpoint.

Part of the Qwen3.6-27B Uncensored — base collection — abliterated (Heretic) Qwen3.6 vision-language models served on Tesla V100 via 1Cat-vLLM.

What this is

Aggressive — heavy abliteration: the most open tier (openness 0.417, top of the family) with a modest reasoning cost.

BF16 — full-precision source checkpoint. Use for further quantization or on GPUs with headroom. The quantized siblings below carry the served benchmarks.

Base model: Qwen/Qwen3.6-27B

Openness

Openness profile (honest): abliteration opens up hacking / malware / lock-picking / NSFW / disinformation prompts; weapons, drugs, political persuasion, surveillance, and extremism stay refused across all tiers. "Uncensored" here means cyber/NSFW-permissive, not unconditionally open.

Variants

See the Qwen3.6-27B Uncensored — base collection for all tiers and formats (BF16 / W4A16-AWQ / NVFP4).


Abliteration removes safety refusals; you are responsible for lawful, ethical use.

README history 3 versions

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

  1. 2026-08-03Standardize model card418907e1.6 KB
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  2. 2026-06-28Reference 1Cat-vLLM PR #88 V100/SM70 recommended serving config8a952253.5 KB
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  3. 2026-06-25Add files using upload-large-folder tool1a4776f3.1 KB
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