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TheCluster/Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-MLX-mxfp4

TheCluster Qwen 39B multimodal second-order
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  • classification m3
  • files 17
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  • author_summary 28 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
5K
231 last 30d - cooling
Likes
4
Model age
6mo ago
created 2026-03-16
Downloads over time
Now4.9K→from566↑761%
3512K3.7K5.3K566 on Mar 184.9K on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 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 · 260 downloads combined

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

Metadata

License
apache-2.0
Languages
en zh
Tags
mlx safetensors qwen3_5 uncensored abliterated heretic nsfw unsloth fine tune all use cases coder creative

Related

Total size
20.2 GB
Files
17
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-16 03:14

Files by quantization

Auxiliary files 17 files 20.2 GB
model-00003-of-00005.safetensors 5.00 GB 517a4190 download
model-00002-of-00005.safetensors 4.98 GB 3c666dd7 download
model-00001-of-00005.safetensors 4.98 GB 708c7d69 download
model-00004-of-00005.safetensors 4.61 GB bdef5b56 download
model-00005-of-00005.safetensors 644 MB 401d9d41 download
tokenizer.json 19.1 MB 87a7830d download
vocab.json 6.41 MB 0aa0ce06 download
model.safetensors.index.json 231 KB 11e26f1a download
chat_template.jinja 7.78 KB 5a663a52 download
config.json 5.53 KB c4d8d029 download
README.md 2.58 KB d386b9f6 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.27 KB 7ad6acdf download
tokenizer_config.json 1.11 KB a068e246 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 213 B a0d4001b download

README current version from Hugging Face


license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-27B/blob/main/LICENSE
base_model:

  • DavidAU/Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking
    library_name: mlx
    tags:
  • uncensored
  • abliterated
  • heretic
  • nsfw
  • unsloth
  • fine tune
  • all use cases
  • coder
  • creative
  • creative writing
  • fiction writing
  • plot generation
  • sub-plot generation
  • fiction writing
  • story generation
  • scene continue
  • storytelling
  • fiction story
  • science fiction
  • romance
  • all genres
  • story
  • writing
  • vivid prosing
  • vivid writing
  • fiction
  • roleplaying
  • mxfp4
  • all use cases
    pipeline_tag: image-text-to-text
    language:
  • en
  • zh

WARNING: This model has character and intelligence. Uncensored,
Unfiltered and boldly confident. Not even remotely "SFW", if you ask it for NSFW content. And it is wickedly smart too.

Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking

Quality: quantized (mxfp4, 4.388 bpw)

40 billion parameters (dense, not moe) expanded from Qwen3.5 27B, then trained on Claude 4.6 Opus High Reasoning dataset via Unsloth on local hardware.

96 layers, 1275 Tensors. (50% more than base model of 27B)

Features variable length reasoning ; less complex = shorter, longer for more complex.

Model performance has increased dramatically. And it has character too.

256K context.

Fully uncensored first (via Heretic), then trained (via Unsloth) on "Deckard/PDK" internal datasets (5) (character, intelligence, depth, observation, and ah... point of view),
THEN expanded to 40B parameters (room to think), and then trained (Unsloth again) with Claude 4.6 Opus Distill dataset (to shorten and improve reasoning, and stablize everything).

SETTINGS:

  • min 8k to 16k context window.
  • for creative rep pen of 1.05 to 1.1 WITH LOWER QUANTS.
  • suggest temp .7 / rep pen 1 (off) for general usage.
  • output generation can exceed 100k tokens.
  • For toolcalls -> suggest 6bit min quants (as per Qwen guidence)

INSTRUCT MODE:
The model's default mode however is "THINKING" ; this can be changed by editing the following line in the jinja template:

{# Set Instruct mode here #}

to

{%- set enable_thinking = false %}

More information


Source

This model was converted to MLX format from DavidAU/Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking using mlx-vlm version 0.4.

README history 6 versions

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

  1. 2026-03-16Update README.md11f552c2.6 KB
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  2. 2026-03-16Update README.md43eafde2.6 KB
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  3. 2026-03-16Update README.md94ee9311.8 KB
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  4. 2026-03-16Update README.md95e8d5c1.7 KB
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  5. 2026-03-16Update README.mdcdf97771.8 KB
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  6. 2026-03-16initial commite7b6b2328 B
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