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Wwayu/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-6Bit

Wwayu Qwen 27B multimodal second-order
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Response includes
  • classification m3
  • files 13
  • benchmarks 11 entries
  • hub_downloads_all_time 1,505
  • author_summary 7 models
  • readme_text full
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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
2K
35 last 30d - cooling
Likes
0
Model age
3mo ago
created 2026-07-06
Downloads over time
Now1.5K→from926↑64%
8961.1K1.4K1.6K926 on Jul 151.5K on Oct 11JulAugSepOct
Jul 15 → Oct 11 · 53 snapshots · spans 88 days

Benchmarks

Benchmark Score Source
Entertainment 1.7 UGI
Hazardous 2.4 UGI
Natural Intelligence 26.28 UGI
Political lean -26.8% UGI
Sensitive-Info 18.31 UGI
SocPol 1.6 UGI
UGI 43.88 UGI
Willingness (10) 9.5 UGI
W10-Adherence 10 UGI
W10-Direct 9 UGI
Writing 38.41 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text heretic uncensored decensored abliterated mpoa mtp mlx mlx-my-repo

Related

Total size
20.4 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-06 00:54

Files by quantization

Auxiliary files 13 files 20.4 GB
model-00001-of-00005.safetensors 5.00 GB d60c73a9 download
model-00002-of-00005.safetensors 4.98 GB 9082118b download
model-00003-of-00005.safetensors 4.97 GB e1bdf40d download
model-00004-of-00005.safetensors 4.45 GB b402c9da download
model-00005-of-00005.safetensors 985 MB 5724eeb6 download
tokenizer.json 19.1 MB 06b95093 download
model.safetensors.index.json 185 KB 833de0b9 download
chat_template.jinja 11.5 KB 03a040a2 download
config.json 4.01 KB 0fbebbe9 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.29 KB 740c286d download
tokenizer_config.json 1.24 KB 30d3b90a download
generation_config.json 226 B 2dd033e0 download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE
pipeline_tag: image-text-to-text
tags:

  • heretic
  • uncensored
  • decensored
  • abliterated
  • mpoa
  • mtp
  • mlx
  • mlx-my-repo
    base_model: llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved

Wwayu/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-6Bit

The Model Wwayu/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-6Bit was converted to MLX format from llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("Wwayu/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-6Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

README history 1 version

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

  1. 2026-07-06Upload folder using huggingface_hub0170dc41.3 KB
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