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Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3

Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3 is a refusal-ablated variant of Goekdeniz-Guelmez/Josiefied-Qwen3-14B-abliterated-v3, published on Hugging Face by bartowski. It is 14B parameters and 24GB VRAM class class. It is distributed across 3 repositories in GGUF and MLX formats, totalling 8K downloads.

Abliteration (directional ablation)14BQwen10B – 25B↓ 7,999♥ 6

Specification

Model name
Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3
Publisher
bartowski
Parameters
14B
VRAM required
~9.3 GB at Q4_K_M, 4k context (estimated) — runs on 12 GB cards
Hardware class
10B – 25B — 24GB VRAM class
Licence
Not declared
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, MLX
First indexed
2 Jun 2025
Last updated
21 Nov 2025

Ablation technique

How Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3 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-Qwen3-14B-abliterated-v3-GGUF --local-dir ./goekdeniz-guelmez-josiefied-qwen3-14b-abliterated-v3
llama-cli -m ./goekdeniz-guelmez-josiefied-qwen3-14b-abliterated-v3/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3-GGUF --trust-remote-code

Downloads and variants (2)

Every published repository of Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3, 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.

  • Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3 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-Qwen3-14B-abliterated-v3, not added by ablation — at 14B 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.
  • 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-Qwen3-14B-abliterated-v3 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.