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Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1

Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1 is a refusal-ablated variant of Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1, published on Hugging Face by bartowski. It is 8B parameters and single consumer GPU class. It is distributed across 3 repositories in GGUF format, totalling 21.8K downloads.

Abliteration (directional ablation)8BQwen4B – 10B↓ 21,765♥ 37
View on Hugging Face ↗Base model ↗

Specification

Model name
Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1
Source repository
bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1-GGUF
Base model
Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1
Publisher
bartowski
Parameters
8B
Hardware class
4B – 10B — single consumer GPU
Licence
Not declared
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
5 May 2025
Last updated
27 Jan 2026

Ablation technique

How Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1 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: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.

From the publisher’s model card

“All quants made using imatrix option with dataset from here”

Running it

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

llama.cpp / GGUF
hf download bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1-GGUF --local-dir ./goekdeniz-guelmez-josiefied-qwen3-8b-abliterated-v1
llama-cli -m ./goekdeniz-guelmez-josiefied-qwen3-8b-abliterated-v1/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1-GGUF --trust-remote-code

Downloads and variants (2)

Every published repository of Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1, including quantised re-releases by other authors.

RepositoryFormatDownloads
bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1-GGUFsourceGGUF21.7K
tensorblock/Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1-GGUFGGUF45

Security-team assessment

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

  • Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1 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 Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1, not added by ablation — at 8B 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.
  • No licence is declared on this repository, which is a compliance problem in itself. Resolve it against the base model’s terms before use.

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 Goekdeniz-Guelmez_Josiefied-Qwen3-8B-abliterated-v1 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with bartowski, and does not independently verify publisher claims. See responsible use.