abliteratedmodels.org

Qwen3.8-27B-abliterated-oQ4e

Qwen3.8-27B-abliterated-oQ4e is a refusal-ablated open-weight language model, published on Hugging Face by root4k. It is 27B parameters and 48GB VRAM class class. It is distributed across 3 repositories in MLX format, totalling 6.3K downloads.

Abliteration (directional ablation)27BQwen25B – 50B6,3218

Specification

Model name
Qwen3.8-27B-abliterated-oQ4e
Base model
Not declared
Publisher
root4k
Parameters
27B
Hardware class
25B – 50B — 48GB VRAM class
Licence
Not declared
Task
Unspecified
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
MLX
First indexed
16 Aug 2026
Last updated
24 Aug 2026

Ablation technique

How Qwen3.8-27B-abliterated-oQ4e 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

This model was quantized using oQ (oMLX v0.6.3rc2) mixed-precision quantization.

Running it

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

Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "root4k/Huihui-Qwen3.8-27B-abliterated-oQ4e-mtp"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve root4k/Huihui-Qwen3.8-27B-abliterated-oQ4e-mtp --trust-remote-code

Downloads and variants (2)

Every published repository of Qwen3.8-27B-abliterated-oQ4e, including quantised re-releases by other authors.

Security-team assessment

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

  • Qwen3.8-27B-abliterated-oQ4e 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 its base model, not added by ablation — at 27B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • No licence is declared on this repository, which is a compliance problem in itself. Resolve it against the base model’s terms before use.

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 Qwen3.8-27B-abliterated-oQ4e is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with root4k, and does not independently verify publisher claims. See responsible use.