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MuXodious/Qwen3.8-27B-absolute-heresy-LoRA-GGUF overview

license: apache 2.0 base model: MuXodious/Qwen3.8 27B absolute heresy LoRA tags: heretic uncensored decensored abliterated lora gguf base model relation: quant…

ggufhereticuncensoreddecensoredabliteratedlorabase_model:MuXodious/Qwen3.8-27B-absolute-heresy-LoRAbase_model:quantized:MuXodious/Qwen3.8-27B-absolute-heresy-LoRAlicense:apache-2.0region:us

Runs locally from ~132.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

2 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen3.8-27B-absolute-heresy-LoRA-BF16.ggufGGUFBF16132.0 MBDownload
Qwen3.8-27B-absolute-heresy-LoRA-F32.ggufGGUFF32264.0 MBDownload

Model Details

Model IDMuXodious/Qwen3.8-27B-absolute-heresy-LoRA-GGUF
AuthorMuXodious
Pipeline
Licenseapache-2.0
Base modelMuXodious/Qwen3.8-27B-absolute-heresy-LoRA
Last modified2026-08-21T14:50:42.000Z

Model README

---

license: apache-2.0

base_model: MuXodious/Qwen3.8-27B-absolute-heresy-LoRA

tags:

  • heretic
  • uncensored
  • decensored
  • abliterated
  • lora
  • gguf

base_model_relation: quantized

---

Static GGUF quants of Qwen3.8-27B-absolute-heresy-LoRA. Apply to your censored Qwen3.8-27B model via passing the argument --lora LoRA.gguf in CLI or adding lora = LoRA.gguf to your models preset. Use the F32 version. This is rather experimental, so let me know how it behaves for you.

So far, using Unsloth's quants along with this LoRA, the model commits absolutely heresy. I am able to benefit from Unsloth's UD 3.0 quantisation and an unparalleled decensorship simultaneously without compromise. This should also be tested in finetunes of the base model to see if the decensorship maintains its strength without introducing issues.

---

This is a decensoring LoRA adapter for Qwen/Qwen3.8-27B, made using Heretic v1.4.0

Abliteration parameters

| Parameter | Value |

| :-------- | :---: |

| direction_index | 37.44 |

| attn.o_proj.max_weights.0 | 0: 0.98 |

| attn.o_proj.max_weights.1 | 1: 0.59 |

| attn.o_proj.max_weights.2 | 2: 1.69 |

| attn.o_proj.max_weights.3 | 3: 1.04 |

| attn.o_proj.max_weights.4 | 4: 1.03 |

| attn.o_proj.max_weight_position | 23.56 |

| attn.o_proj.min_weights.0 | 0: 0.69 |

| attn.o_proj.min_weights.1 | 1: 0.13 |

| attn.o_proj.min_weights.2 | 2: 1.22 |

| attn.o_proj.min_weights.3 | 3: 0.96 |

| attn.o_proj.min_weights.4 | 4: 0.69 |

| attn.o_proj.min_weight_distance | 12.40 |

| mlp.down_proj.max_weights.0 | 0: 0.04 |

| mlp.down_proj.max_weights.1 | 1: 0.53 |

| mlp.down_proj.max_weights.2 | 2: 0.69 |

| mlp.down_proj.max_weights.3 | 3: 0.08 |

| mlp.down_proj.max_weights.4 | 4: 1.73 |

| mlp.down_proj.max_weight_position | 43.41 |

| mlp.down_proj.min_weights.0 | 0: 0.02 |

| mlp.down_proj.min_weights.1 | 1: 0.42 |

| mlp.down_proj.min_weights.2 | 2: 0.34 |

| mlp.down_proj.min_weights.3 | 3: 0.03 |

| mlp.down_proj.min_weights.4 | 4: 0.96 |

| mlp.down_proj.min_weight_distance | 4.42 |

Performance

| Metric | This model | Original model (Qwen/Qwen3.8-27B) |

| :----- | :--------: | :---------------------------: |

| KL divergence | 0.0759 | 0 (by definition) |

| Refusals | 2/101 | 101/101 |

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