abliteratedmodels.org

Ektome-Qwen3.8-27B-PristinelyUncensored

Ektome-Qwen3.8-27B-PristinelyUncensored is a abliterated and uncensored variant of Qwen/Qwen3.8-27B, published on Hugging Face by Zynerji. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 7 repositories in GGUF, GPTQ and GGUF (imatrix) formats, totalling 24.6K downloads.

Abliteration + uncensored fine-tune27BQwen25B – 50B24,56310

Specification

Model name
Ektome-Qwen3.8-27B-PristinelyUncensored
Publisher
Zynerji
Parameters
27B
Hardware class
25B – 50B — 48GB VRAM class
Licence
apache-2.0
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, GPTQ, GGUF (imatrix)
First indexed
14 Aug 2026
Last updated
20 Aug 2026

Ablation technique

How Ektome-Qwen3.8-27B-PristinelyUncensored 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

embedtokens and lmhead — two 248320 x 5120 tensors every other release leaves in bf16 — which frees ~6 GB for KV cache and is why 262,144 tokens fit on a 24 GB card. Measured on eight GPUs (5090 / 4090 / 3090 Ti / 3090 / A4000 / 5060 Ti / 5070 Ti / 4080 Super); MMLU 0.7995, HumanEval 0.8902, MMStar 0.6633. Stock vLLM...

Running it

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

llama.cpp / GGUF
hf download Zynerji/Ektome-Qwen3.8-27B-PristinelyUncensored --local-dir ./ektome-qwen3.8-27b-pristinelyuncensored
llama-cli -m ./ektome-qwen3.8-27b-pristinelyuncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "Zynerji/Ektome-Qwen3.8-27B-PristinelyUncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve Zynerji/Ektome-Qwen3.8-27B-PristinelyUncensored --trust-remote-code

Downloads and variants (6)

Every published repository of Ektome-Qwen3.8-27B-PristinelyUncensored, 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.

  • Ektome-Qwen3.8-27B-PristinelyUncensored 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 Qwen/Qwen3.8-27B, 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 Qwen/Qwen3.8-27B’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 Ektome-Qwen3.8-27B-PristinelyUncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with Zynerji, and does not independently verify publisher claims. See responsible use.