Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic
from nightmedia/Qwen3.5-9B-DS9-USS-Defiant
Qwen3VL-8B-Abliterated-ConvRot is a refusal-ablated variant of AtomicChat/Qwen-Image-2.1-Turbo-Uncensored-GGUF, published on Hugging Face by NidAll. It is 8B parameters, single consumer GPU class and apache-2.0 licence. It is distributed across 2 repositories in Transformers format, totalling 16.7K downloads.
How Qwen3VL-8B-Abliterated-ConvRot was modified, and what that implies.
Abliteration (directional ablation)
The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“A complete multimodal Qwen3-VL text encoder for Qwen Image 2.1 Turbo in ComfyUI, reconstructed from AtomicChat's BF16 GGUF release. Choose the 9.35 GB INT8 ConvRot checkpoint for reduced storage, or 17.53 GB BF16 for the original reconstructed precision.”
Commands are templates — confirm the exact repository and quant file before use.
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "NidAll/Qwen3VL-8B-Abliterated-INT8-ConvRot"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve NidAll/Qwen3VL-8B-Abliterated-INT8-ConvRot --trust-remote-codeThe only published repository of Qwen3VL-8B-Abliterated-ConvRot.
| Repository | Format | Downloads |
|---|---|---|
| NidAll/Qwen3VL-8B-Abliterated-INT8-ConvRotsource | Transformers | 16.7K |
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for Qwen3VL-8B-Abliterated-ConvRot is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with NidAll, and does not independently verify publisher claims. See responsible use.