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Qwen3.8-27B-GSQ-RCO-Uncensored

Qwen3.8-27B-GSQ-RCO-Uncensored is a abliterated and uncensored variant of huihui-ai/Huihui-Qwen3.8-27B-abliterated, published on Hugging Face by RentedNoodle. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 17K downloads.

Abliteration + uncensored fine-tune27BQwen25B – 50B↓ 16,993♥ 73
View on Hugging Face ↗Base model ↗

Specification

Model name
Qwen3.8-27B-GSQ-RCO-Uncensored
Source repository
RentedNoodle/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-Uncensored
Base model
huihui-ai/Huihui-Qwen3.8-27B-abliterated
Publisher
RentedNoodle
Parameters
27B
VRAM required
~17.2 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Image text to text
Context window
196K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
5 Sept 2026
Last updated
7 Sept 2026

Ablation technique

How Qwen3.8-27B-GSQ-RCO-Uncensored was modified, and what that implies.

Abliteration + uncensored fine-tune

Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.

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 3-bit GGUF quant of the abliterated Qwen3.8-27B, built to hold full 196K context on a single 16 GB GPU. Sibling size class carries ISTA-DASLab's full-size AIME/GPQA numbers; this file trades recall for residency and says so below.”

Running it

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

llama.cpp / GGUF
hf download RentedNoodle/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-Uncensored --local-dir ./qwen3.8-27b-gsq-rco-uncensored
llama-cli -m ./qwen3.8-27b-gsq-rco-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "RentedNoodle/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-Uncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve RentedNoodle/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-Uncensored --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3.8-27B-GSQ-RCO-Uncensored.

RepositoryFormatDownloads
RentedNoodle/Qwen3.8-27B-GSQ-RCO-IQ3_XXS-UncensoredsourceGGUF17K

Security-team assessment

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

  • Qwen3.8-27B-GSQ-RCO-Uncensored 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 huihui-ai/Huihui-Qwen3.8-27B-abliterated, 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.
  • This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
  • Declared licence is apache-2.0, but the terms that bind you are huihui-ai/Huihui-Qwen3.8-27B-abliterated’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 Qwen3.8-27B-GSQ-RCO-Uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with RentedNoodle, and does not independently verify publisher claims. See responsible use.