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AIconjured/Qwen3.8-27B-TURBO-Fable-ColdFusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-NVFP4-Q8-Q3-GGUF

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Response includes
  • classification m3
  • files 1
  • hub_downloads_all_time 7,056
  • 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
7K
2K last 30d - stable
Likes
15
Model age
6w ago
created 2026-09-12
Downloads over time
Now9.5K→from0↑0%
03.5K7K10.4K0 on Sep 129.5K on Oct 29SepOct
Sep 12 → Oct 29 · 48 snapshots · spans 47 days

Variants by this author 2 formats · 3K downloads combined

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

Metadata

Tags
gguf 27B Qwen3.8 MTP Text Vision Ollama llama.cpp Uncensored NVFP4 blackwell Text Generation

Related

Total size
0 B
Files
1
Quantizations
1
Registered
2026-09-12 17:55
Last updated on HF
2026-09-13 01:43

Files by quantization

Auxiliary files 1 file 1.48 KB
.gitattributes 1.48 KB a6344aac download

README

The author did not publish a README.

README history 6 versions

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

  1. 2026-09-13Update README.md268c60b9.2 KB
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  2. 2026-09-12Update README.mda2a5aca7.3 KB
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  3. 2026-09-12Update README.md48c50a67.3 KB
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  4. 2026-09-12Update README.mda04a5cc7.3 KB
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  5. 2026-09-12Update README.md3e1ed5e7 KB
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  6. 2026-09-12Upload folder using huggingface_hub056b0127.1 KB
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Discussions 2 threads

  1. 2026-09-16Full NVFP4 version ( No Q3_K ) here . ( Link in Comments )open1 💬#2
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  2. 2026-09-12num_ctx 229376 fits comfortably on 32GB Vram for 100% GPUopen2 💬#1
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