abliteratedmodels.org

Qwen3.8-9B-heretic-uncensored

Qwen3.8-9B-heretic-uncensored is a Heretic-ablated variant of empero-ai/Qwen3.8-9B-Distill, published on Hugging Face by Noobito45. It is 9B parameters, single consumer GPU class and apache-2.0 licence. It is distributed across 10 repositories in GGUF, GGUF (imatrix) and MLX formats, totalling 107.9K downloads.

Heretic9BQwen4B – 10B107,94625

Specification

Model name
Qwen3.8-9B-heretic-uncensored
Publisher
Noobito45
Parameters
9B
Hardware class
4B – 10B — single consumer GPU
Licence
apache-2.0
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, GGUF (imatrix), MLX
First indexed
17 Aug 2026
Last updated
24 Aug 2026

Ablation technique

How Qwen3.8-9B-heretic-uncensored 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

This is a decensored version of empero-ai/Qwen3.8-9B, created using Heretic v1.4.0.

Running it

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

llama.cpp / GGUF
hf download Noobito45/Qwen3.8-9B-heretic-uncensored-NVFP4-GGUF --local-dir ./qwen3.8-9b-heretic-uncensored
llama-cli -m ./qwen3.8-9b-heretic-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "Noobito45/Qwen3.8-9B-heretic-uncensored-NVFP4-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve Noobito45/Qwen3.8-9B-heretic-uncensored-NVFP4-GGUF --trust-remote-code

Downloads and variants (9)

Every published repository of Qwen3.8-9B-heretic-uncensored, 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.

  • Qwen3.8-9B-heretic-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 empero-ai/Qwen3.8-9B-Distill, not added by ablation — at 9B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
  • 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 empero-ai/Qwen3.8-9B-Distill’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 Qwen3.8-9B-heretic-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 Noobito45, and does not independently verify publisher claims. See responsible use.