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Qwen3-14B-abliterated-v2

Qwen3-14B-abliterated-v2 is a refusal-ablated variant of Qwen/Qwen3-14B, published on Hugging Face by huihui-ai. It is 14B parameters, 24GB VRAM class class and apache-2.0 licence. It is distributed across 10 repositories in GGUF, Transformers, GGUF (imatrix) and AWQ formats, totalling 61.9K downloads.

Abliteration (directional ablation)14BQwen10B – 25B↓ 61,945♥ 38

Specification

Model name
Qwen3-14B-abliterated-v2
Base model
Qwen/Qwen3-14B
Publisher
huihui-ai
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
apache-2.0
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, Transformers, GGUF (imatrix), AWQ, EXL2, MLX
First indexed
17 Jun 2025
Last updated
15 Sept 2026

Ablation technique

How Qwen3-14B-abliterated-v2 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

“This is an uncensored version of Qwen/Qwen3-14B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.”

Running it

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

Ollama (publisher-documented)
ollama run huihui_ai/qwen3-abliterated:14b-v2
llama.cpp / GGUF
hf download mradermacher/Huihui-Qwen3-14B-abliterated-v2-GGUF --local-dir ./qwen3-14b-abliterated-v2
llama-cli -m ./qwen3-14b-abliterated-v2/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "huihui-ai/Huihui-Qwen3-14B-abliterated-v2"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve huihui-ai/Huihui-Qwen3-14B-abliterated-v2 --trust-remote-code

Downloads and variants (9)

Every published repository of Qwen3-14B-abliterated-v2, 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.

  • Qwen3-14B-abliterated-v2 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/Qwen3-14B, 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.
  • Declared licence is apache-2.0, but the terms that bind you are Qwen/Qwen3-14B’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 Qwen3-14B-abliterated-v2 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with huihui-ai, and does not independently verify publisher claims. See responsible use.