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jirka642/Qwen3.8-27B-Uncensored-Heretic-Native-MTP-Preserved-exl3

jirka642 27B second-order
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  • files 2
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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 · 30-day
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Likes
0
Model age
today
created 2026-10-12

Genealogy 0 direct forks

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Metadata

Tags
exllamav3 safetensors text-generation base_model:llmfan46/Qwen3.8-27B-Uncensored-Heretic-Native-MTP-Preserved base_model:quantized:llmfan46/Qwen3.8-27B-Uncensored-Heretic-Native-MTP-Preserved region:us

Related

Total size
0 B
Files
2
Quantizations
1
Registered
2026-10-12 01:59
Last updated on HF
2026-10-12 01:35

Files by quantization

Auxiliary files 2 files 3.15 KB
.gitattributes 1.67 KB 0de2819e download
README.md 1.48 KB 7a6c0430 download

README current version from Hugging Face


base_model: llmfan46/Qwen3.8-27B-Uncensored-Heretic-Native-MTP-Preserved
base_model_relation: quantized
pipeline_tag: text-generation
library_name: exllamav3

EXL3 quants of llmfan46/Qwen3.8-27B-Uncensored-Heretic-Native-MTP-Preserved

  • Model Commit: 4b9e1517a43fdca25872318ed272a1c88e72c360
  • ExLlamaV3: 1.6.1
  • Command: python -m exllamav3.conversion.convert_model --in_dir "./llmfan46__Qwen3.8-27B-Uncensored-Heretic-Native-MTP-Preserved/" --out_dir "./4.0bpw_H6_V6" --work_dir "./workdir/" --bits 4 --mtp_bits 4 --head_bits 6 --vision_bits 6 --devices 0,1
  • llmfan46's repo lacks preprocessor_config.json, and the processor_config.json it has is not compatible, so I used preprocessor_config.json from Qwen/Qwen3.8-27B repo.

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