⌦abliteratedmodels.org

Qwen3VL-8B-Abliterated-ConvRot

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.

Abliteration (directional ablation)8BQwen4B – 10B↓ 16,711♥ 6

Specification

Model name
Qwen3VL-8B-Abliterated-ConvRot
Publisher
NidAll
Parameters
8B
VRAM required
~5.6 GB at Q4_K_M, 4k context (estimated) — runs on 6 GB cards
Hardware class
4B – 10B — single consumer GPU
Licence
apache-2.0
Task
Text to image
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Transformers
First indexed
10 Oct 2026
Last updated
10 Oct 2026

Ablation technique

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.”

Running it

Commands are templates — confirm the exact repository and quant file before use.

Transformers
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
vllm serve NidAll/Qwen3VL-8B-Abliterated-INT8-ConvRot --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3VL-8B-Abliterated-ConvRot.

RepositoryFormatDownloads
NidAll/Qwen3VL-8B-Abliterated-INT8-ConvRotsourceTransformers16.7K

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • Qwen3VL-8B-Abliterated-ConvRot will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
  • Capability is inherited from AtomicChat/Qwen-Image-2.1-Turbo-Uncensored-GGUF, not added by ablation — at 8B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • Declared licence is apache-2.0, but the terms that bind you are AtomicChat/Qwen-Image-2.1-Turbo-Uncensored-GGUF’s — a re-release cannot grant more than its parent.

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.