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nuofang/Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved-GGUF

nuofang Qwen 9B GGUF second-order
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Response includes
  • classification m3
  • files 5
  • hub_downloads_all_time 522
  • 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
522
158 last 30d - stable
Likes
1
Model age
2mo ago
created 2026-07-31
Downloads over time
Now583→from1↑58,200%
02144276411 on Jul 29583 on Oct 11JulAugSepOct
Jul 29 → Oct 11 · 51 snapshots · spans 74 days

Genealogy 0 direct forks

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Metadata

Quantizations
IQ4
Tags
gguf llama.cpp quantized imatrix base_model:llmfan46/Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved base_model:quantized:llmfan46/Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved region:us

Related

Total size
4.84 GB
Files
5
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-07-31 12:27

Files by quantization

IQ4 1 file 4.84 GB
Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved-IQ4_XS.gguf 4.84 GB a3c4aa01 download
F16 1 file 879 MB
mmproj-Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved-f16.gguf 879 MB daefd342 download
Auxiliary files 3 files 4.91 MB
imatrix.gguf 4.91 MB 64032fc4 download
.gitattributes 1.75 KB 15f8c343 download
README.md 1.29 KB 0dde49b9 download

README current version from Hugging Face


base_model: llmfan46/Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved
tags:

  • llama.cpp
  • quantized
  • imatrix

Auto-Quantized GGUF Model

This repository contains automated GGUF quantization files for llmfan46/Qwen3.5-9B-Nikusui-v1-Uncensored-Heretic-Native-MTP-Preserved.

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 = 15.3110 +/- 0.12252
  • IQ4_XS: PPL = 13.2794 +/- 0.10447

README history 3 versions

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

  1. 2026-07-31Upload README.md with huggingface_hub01c99881.3 KB
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  2. 2026-07-31Upload README.md with huggingface_hubae804fe1.3 KB
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  3. 2026-07-31Upload README.md with huggingface_hub6fc1aff1.1 KB
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