---
title: MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected
canonical_url: "https://www.modelscope.ai/models/allura-forge/MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected"
md_url: "https://www.modelscope.ai/models/allura-forge/MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected.md"
repository: allura-forge/MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected
last_updated: 2026-08-19
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
base_model:
  - Qwen/Qwen3.8-27B
base_model_relation: adapter
parameters: 69.2M
tensor_type:
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 86
stars: 0
tags:
  - heretic
  - uncensored
  - decensored
  - abliterated
  - lora
---

# MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected

> MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected - An open-source model by allura-forge on ModelScope. This is a decensoring LoRA adapter for Qwen/Qwen3.8-27B, made using Heretic v1.4.0 Abliteration parameters | Parameter | Value | | :-------- |…

allura-forge/MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected is a 69.2M-parameter image-text-to-text model on ModelScope. licensed under apache-2.0. derived from Qwen/Qwen3.8-27B.

- **Repository**: allura-forge/MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 69.2M
- **Base model**: Qwen/Qwen3.8-27B
- **Tags**: heretic, uncensored, decensored, abliterated, lora
- **Downloads**: 86
- **Stars**: 0
- **Last updated**: 2026-08-19

Source: https://www.modelscope.ai/models/allura-forge/MuXodious_Qwen3.8-27B-absolute-heresy-LoRA_jlensprojected

---

# This is a decensoring LoRA adapter for [Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B), made using [Heretic](https://heretic-project.org) 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](https://huggingface.co/Qwen/Qwen3.8-27B)) |
| :----- | :--------: | :---------------------------: |
| **KL divergence** | 0.0759 | 0 *(by definition)* |
| **Refusals** | 2/101 | 101/101 |