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vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese

vurtnesaerdna Qwen 27B
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     "https://abliteration.org/api/v1/models/vurtnesaerdna%2FQwen3.8-27B-Uncensored-Chinese"
Response includes
  • classification m-uncensored
  • files 32
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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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created 2026-09-25

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Metadata

License
apache-2.0
Languages
zh
Tags
transformers safetensors qwen3_5 image-text-to-text not-for-all-audiences lora sft creative-writing text-generation conversational zh base_model:Qwen/Qwen3.8-27B

Related

Total size
51.7 GB
Files
32
Quantizations
1
Registered
2026-09-25 17:57
Last updated on HF
2026-09-25 17:38

Files by quantization

Auxiliary files 32 files 51.8 GB
model-00004-of-00018.safetensors 3.72 GB 033e6d74 download
model-00016-of-00018.safetensors 3.71 GB 2a121d12 download
model-00006-of-00018.safetensors 3.71 GB 13a46f16 download
model-00008-of-00018.safetensors 3.71 GB 7bea9236 download
model-00010-of-00018.safetensors 3.71 GB 0df8b596 download
model-00012-of-00018.safetensors 3.71 GB d5aa3f30 download
model-00014-of-00018.safetensors 3.71 GB d77cc73b download
model-00001-of-00018.safetensors 3.69 GB 7b2f294e download
model-00018-of-00018.safetensors 3.16 GB 1d347950 download
model-00002-of-00018.safetensors 2.83 GB 5608ca22 download
model-00003-of-00018.safetensors 2.37 GB 2e1bf62c download
model-00007-of-00018.safetensors 1.96 GB ceb28ded download
model-00009-of-00018.safetensors 1.96 GB 25086c4c download
model-00011-of-00018.safetensors 1.96 GB 8467e12b download
model-00013-of-00018.safetensors 1.96 GB c19cbdd7 download
model-00015-of-00018.safetensors 1.96 GB 9baca701 download
model-00017-of-00018.safetensors 1.96 GB 4d1d6ba6 download
model-00005-of-00018.safetensors 1.96 GB 57cceaad download
tokenizer.json 12.2 MB 0997f410 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 110 KB da35e3c5 download
tokenizer_config.json 17.5 KB 5de744b3 download
LICENSE 11.3 KB f938136e download
chat_template.jinja 8.74 KB c0c686f9 download
config.json 4.21 KB 706cebd7 download
README.md 2.67 KB 60e74a9f download
.gitattributes 1.53 KB 52373fe2 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
crc32.txt 238 B 6de5ee6a download
generation_config.json 202 B 023756cf download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3.8-27B
base_model_relation: finetune
language:

  • zh
    tags:
  • not-for-all-audiences
  • lora
  • sft
  • creative-writing
    pipeline_tag: text-generation

Qwen3.8-27B-Uncensored-Chinese

18+ only. This model generates sexually explicit fiction.

A fine-tune of Qwen/Qwen3.8-27B for Chinese adult creative writing. It was trained with LoRA on about 4.2k instruction examples built from Chinese adult fiction, and the LoRA was then merged into the base weights, so this repo loads like a normal full model.

Training

  • Method: LoRA SFT (r=16, alpha=32), loss on assistant tokens only
  • Data: ~4.2k single-turn instruction/response pairs, max length 1536 tokens
  • Schedule: 2 epochs, lr 1e-4 with cosine decay, effective batch size 8
  • Hardware: 4x NVIDIA L4, tensor parallel

Usage

Transformers

Requires a recent transformers with Qwen3.8 support. The ~50 GB of bf16 weights need multiple GPUs or CPU offload.

import torch
from transformers import AutoModelForImageTextToText, AutoTokenizer

repo = "vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForImageTextToText.from_pretrained(repo, dtype=torch.bfloat16, device_map="auto")

messages = [
    {"role": "system", "content": "描写性爱的高手作家,一个色情小说家"},
    {"role": "user", "content": "写一个故事的开头。"},
]
inputs = tok.apply_chat_template(
    messages, add_generation_prompt=True, enable_thinking=False, return_tensors="pt", return_dict=True
).to(model.device)
out = model.generate(
    **inputs, max_new_tokens=1024, do_sample=True,
    temperature=0.9, top_p=0.9, top_k=40, min_p=0.05,
)
print(tok.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))

vLLM

vllm serve vurtnesaerdna/Qwen3.8-27B-Uncensored-Chinese \
    --tensor-parallel-size 4 --dtype bfloat16 --max-model-len 4096

Suggested sampling

Parameter Value
temperature 0.9
top_p 0.9
top_k 40
min_p 0.05
presence_penalty 0.6

Avoid greedy decoding, which makes Qwen models more likely to repeat themselves.

Example system prompt: 描写性爱的高手作家,一个色情小说家

Limitations

  • Content is fictional and intended for adult readers only.
  • Trained mostly on long-form prose; instruction following outside creative writing may be weaker than the base model.
  • May still occasionally repeat itself on very long generations.

License

Apache-2.0, following the base model.

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