Qwen3.8-27B-Uncensored
from Qwen/Qwen3.8-27B
Qwen3.8-27B-huihui-abliterated is a refusal-ablated variant of huihui-ai/Huihui-Qwen3.8-27B-abliterated, published on Hugging Face by lued. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. The publisher states that the first 15 layers were left unablated to preserve more of the base model's behaviour. It is distributed across 2 repositories in Transformers format, totalling 5K downloads.
How Qwen3.8-27B-huihui-abliterated 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: First 15 layers retained unablated. This comes from the publisher’s own model card and has not been independently verified.
From the publisher’s model card
“This checkpoint is the abliterated counterpart of lued/Qwen3.8-27B-INT8-W8A16-MTP. The repositories share:”
Commands are templates — confirm the exact repository and quant file before use.
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "lued/Qwen3.8-27B-huihui-abliterated-INT8-W8A16-MTP"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vllm serve lued/Qwen3.8-27B-huihui-abliterated-INT8-W8A16-MTP --trust-remote-codeThe only published repository of Qwen3.8-27B-huihui-abliterated.
| Repository | Format | Downloads |
|---|---|---|
| lued/Qwen3.8-27B-huihui-abliterated-INT8-W8A16-MTPsource | Transformers | 5K |
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 Qwen3.8-27B-huihui-abliterated is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with lued, and does not independently verify publisher claims. See responsible use.