Qwen3.8-27B-abliterated
27BQwen
from Qwen/Qwen3.8-27B
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Qwen3.8-27B-Heretic-GSQ-RCO
Qwen3.8-27B-Heretic-GSQ-RCO is a Heretic-ablated variant of 0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored, published on Hugging Face by 0bserverx. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 64K downloads.
Specification
- Model name
- Qwen3.8-27B-Heretic-GSQ-RCO
- Source repository
- 0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF
- Publisher
- 0bserverx
- 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
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 20 Sept 2026
- Last updated
- 20 Sept 2026
Ablation technique
How Qwen3.8-27B-Heretic-GSQ-RCO was modified, and what that implies.
Heretic
Automated directional ablation via the Heretic toolchain, which searches for the refusal direction and applies it with a KL-divergence budget so general capability is preserved.
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
“Non-uniform GGUF quantizations of RVN Qwen3.8-27B-Heretic-Abliterated-Uncensored (refusals 0-1/100, KL ~ 0.0085 vs base). Instead of one uniform quantization type for all tensors, each of the 851 tensors carries its own type, following the per-tensor RCO allocation published by IST-DASLab for their GSQ-RCO release of...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download 0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF --local-dir ./qwen3.8-27b-heretic-gsq-rco
llama-cli -m ./qwen3.8-27b-heretic-gsq-rco/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve 0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUF --trust-remote-codeDownloads and variants (1)
The only published repository of Qwen3.8-27B-Heretic-GSQ-RCO.
| Repository | Format | Downloads |
|---|---|---|
| 0bserverx/Qwen3.8-27B-Heretic-GSQ-RCO-GGUFsource | GGUF | 64K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwen3.8-27B-Heretic-GSQ-RCO 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 0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored, 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.
- Declared licence is apache-2.0, but the terms that bind you are 0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored’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-Heretic-GSQ-RCO is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with 0bserverx, and does not independently verify publisher claims. See responsible use.