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nurdich/Qwen3.8-9B-Distill-SLERP-F451-Pro-Writer-Uncensored

nurdich 9.7B multimodal second-order
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Response includes
  • classification m5
  • files 16
  • hub_downloads_all_time 65
  • author_summary 3 models
  • readme_text full
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Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • no abliteration marker
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
65
32 last 30d - stable
Likes
1
Model age
6w ago
created 2026-09-01
Downloads over time
Now85→from0↑0%
03162940 on Sep 185 on Oct 17SepOct
Sep 1 → Oct 17 · 47 snapshots · spans 46 days

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

Languages
zh
Tags
transformers safetensors qwen3_5 image-text-to-text merged-model merge mergekit Uncensored vivid writing novel roleplay nsfw

Related

Total size
18.0 GB
Files
16
Quantizations
1
Registered
2026-09-01 22:03
Last updated on HF
2026-09-01 19:44

Files by quantization

Auxiliary files 16 files 18.0 GB
model-00002-of-00004.safetensors 4.65 GB 5a19f773 download
model-00003-of-00004.safetensors 4.61 GB 468a2ad1 download
model-00001-of-00004.safetensors 4.60 GB 57ad34c0 download
model-00004-of-00004.safetensors 4.12 GB 1e41bf42 download
tokenizer.json 19.1 MB 06b95093 download
Generated_with_miaomiaoHarem_anima.png 1.30 MB 85067211 download
model.safetensors.index.json 68.7 KB f0117e4d download
chat_template.jinja 7.57 KB a585dec8 download
README.md 3.29 KB 39d3c69f download
config.json 2.82 KB 0e4869ee download
.gitattributes 1.61 KB 006604ac download
processor_config.json 1.16 KB 33818c7f download
tokenizer_config.json 1.14 KB 1d134cd2 download
merge_config.yaml 287 B c33cc24c download
mergekit_config.yml 287 B c33cc24c download
generation_config.json 164 B aaaf57bd download

README current version from Hugging Face


library_name: transformers
tags:

  • merged-model
  • merge
  • mergekit
  • Uncensored
  • vivid writing
  • novel
  • roleplay
  • nsfw
  • not for all audiences
    base_model:
  • "petruhonk/Qwen3.8-9B-Distill-uncensored-heretic"
  • "DavidAU/Qwen3.5-9B-The-Bradbury-F451-Pro-Writer-Uncensored-Heretic"
    language:
  • zh

image/png

两个精心挑选的模型,合并出一个奇迹

Two handpicked models, merged into a miracle.


GGUF

虽然这是我第一次合并模型,但我认为结果非常好。特别在中文nsfw、角色扮演、小说方面
Although this is my first time merging models, I think the results are excellent, especially for Chinese NSFW, role-playing, and novels.

源模型来自:
The source model is from:
petruhonk/Qwen3.8-9B-Distill-uncensored-heretic
DavidAU/Qwen3.5-9B-The-Bradbury-F451-Pro-Writer-Uncensored-Heretic

使用 kaggle 免费会话和 mergekit 开源工具完成
Completed using Kaggle's free sessions and the open-source tool Mergekit.

非常感谢他们!
Thank you so much!


merged

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

  • /kaggle/temp/model_a
  • /kaggle/temp/model_b

Configuration

The following YAML configuration was used to produce this model:

merge_method: slerp
models:
  - model: /kaggle/temp/model_a
  - model: /kaggle/temp/model_b
base_model: /kaggle/temp/model_a
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Merge recipe

SLERP merge (mergekit) combining two Qwen3.5-9B finetunes:

Layer-wise t schedule (t=0 -> base/general, t=1 -> writer):

  • self_attn: [0, 0.5, 0.3, 0.7, 1]
  • mlp: [1, 0.5, 0.7, 0.3, 0]
  • all other tensors: 0.5

dtype: bfloat16. Early layers lean toward the distilled reasoning model while late attention
layers lean toward the writer, aiming to keep general intelligence and add creative-writing
strength. Full mergekit config: see merge_config.yaml.

Warning: parents are uncensored/ablated models; outputs are not safety-filtered. Not for all audiences.

README history 1 version

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

  1. 2026-09-01Duplicate from nuofang/Qwen3.8-9B-Distill-SLERP-F451-Pro-Writer-Uncensoredb3548053.3 KB
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Discussions 1 thread

  1. 2026-10-07RTX3060 12GB 實測open1 💬#1
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