license: apache-2.0
language:

• en
  library_name: transformers
  pipeline_tag: image-text-to-text
  base_model:
• allura-org/Qwen3.8-27B-Dominatrix
  base_model_relation: finetune
  tags:
• roleplay
• creative-writing
• abliterated
• uncensored
• qwen3
• not-for-all-audiences

Qwen3.8-27B-Dominatrix-abliterated (BF16)

allura-org/Qwen3.8-27B-Dominatrix
with the refusal direction from
huihui-ai/Huihui-Qwen3.8-27B-abliterated
projected out, recomputed against Dominatrix's own weights rather than transferred as an
additive delta.

The goal was to keep Dominatrix's roleplay prose intact while picking up huihui's uncensored
behaviour. Perplexity on in-domain RP text is essentially unchanged, and the large majority of
tensors are untouched.

An NVFP4 quant, built for SGLang with DFlash 2 speculative decoding, is at
Qwen3.8-27B-Dominatrix-abliterated-MTP-NVFP4.

⚠️ Loading this model

This is a VL architecture (Qwen3_5ForConditionalGeneration). Load it with
AutoModelForImageTextToText:

from transformers import AutoModelForImageTextToText, AutoTokenizer
import torch

model = AutoModelForImageTextToText.from_pretrained(
    "zebulon-prime/Qwen3.8-27B-Dominatrix-abliterated",
    dtype=torch.bfloat16, device_map="cuda:0", trust_remote_code=True)
tok = AutoTokenizer.from_pretrained("zebulon-prime/Qwen3.8-27B-Dominatrix-abliterated")

Do not use AutoModelForCausalLM. For model_type: qwen3_5 it silently resolves to the
text-only Qwen3_5ForCausalLM, which drops the vision and MTP tensors on load. A PEFT adapter
applied afterwards will match no modules, making merge_and_unload() a silent no-op that
still writes a complete-looking checkpoint.

What is preserved

• Vision tower — byte-identical to Dominatrix.
• MTP head — byte-identical. Usable for MTP speculative decoding.
• Tokenizer and chat template — unchanged from Dominatrix, including its adjusted defaults
  (preserve_thinking off, reasoning_effort medium rather than xhigh).

Only the residual-stream output projections in the upper layers were modified.

Usage notes

Upstream's sampler guidance carries over: temperature 1.0–1.25 with either min_p 0.1 or
top_p 0.95; some users prefer 0.7 temperature and nothing else.

Reasoning is supported and preserved. Disable per request with
chat_template_kwargs={"enable_thinking": false}. With thinking enabled, a low max_tokens
can return empty content because the entire budget went to the reasoning block.

Fidelity was checked against stock Dominatrix on in-domain roleplay text. No standardised
refusal-rate or safety evaluation was run; uncensored behaviour was confirmed only by
spot-checking generations.