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nuofang/Qwen3.8-9B-Distill-uncensored-heretic-GGUF

nuofang Qwen 9B GGUF second-order
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Response includes
  • classification m3
  • files 5
  • hub_downloads_all_time 4,738
  • author_summary 22 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
4K last 30d - active
Likes
1
Model age
7w ago
created 2026-08-22
Downloads over time
Now5.7K→from375↑1,432%
1072.2K4.2K6.3K375 on Aug 265.7K on Oct 11AugSepOct
Aug 26 → Oct 11 · 47 snapshots · spans 46 days

Genealogy 0 direct forks

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Metadata

Tags
gguf llama.cpp quantized imatrix base_model:petruhonk/Qwen3.8-9B-Distill-uncensored-heretic base_model:quantized:petruhonk/Qwen3.8-9B-Distill-uncensored-heretic region:us

Related

Total size
4.84 GB
Files
5
Quantizations
2
Registered
2026-08-22 16:02
Last updated on HF
2026-08-28 21:58

Files by quantization

F16 1 file 879 MB
mmproj-Qwen3.8-9B-Distill-uncensored-heretic-f16.gguf 879 MB b77ecf23 download
Auxiliary files 4 files 4.84 GB
Qwen3.8-9B-Distill-uncensored-heretic-IQ4_XS-no-mtp.gguf 4.84 GB cceac11b download
imatrix.gguf 4.91 MB caa4988b download
.gitattributes 1.71 KB d0cd2073 download
README.md 1.22 KB 9f725d68 download

README current version from Hugging Face


base_model: petruhonk/Qwen3.8-9B-Distill-uncensored-heretic
tags:

  • llama.cpp
  • quantized
  • imatrix

Auto-Quantized GGUF Model

This repository contains automated GGUF quantization files for petruhonk/Qwen3.8-9B-Distill-uncensored-heretic.

The calibration data for the imatrix is targeted at Chinese novels and role-playing (RP), while preserving logic and common sense.
imatrix 的校准数据以中文的小说、角色扮演为目标,同时保留逻辑和常识。

If the perplexity drops after quantization compared to the original precision, it might not actually be an improvement. Instead, it could be caused by differences in how llama.cpp quantization and perplexity tools handle special tokens. I will update the README generation code in the future.
如果困惑度在量化之后与原精度相比变低,可能并不是真的提升,而是llamacpp量化工具和困惑度计算工具处理特殊token行为不同导致的,我将在未来修改生成readme的代码。

Perplexity Evaluation

(Tested against the provided calibration dataset)

  • Base (F16/BF16): PPL = 13.4513 +/- 0.10576
  • IQ4_XS: PPL = 11.6096 +/- 0.08913

README history 5 versions

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

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