abliteratedmodels.org

gemma-2-9b-it-abliterated

gemma-2-9b-it-abliterated is a refusal-ablated variant of IlyaGusev/gemma-2-9b-it-abliterated, published on Hugging Face by IlyaGusev. It is 9B parameters, single consumer GPU class and gemma licence. It is distributed across 32 repositories in Transformers, GGUF, EXL2 and AWQ formats, totalling 10.7K downloads.

Abliteration (directional ablation)9BGemma4B – 10B10,73853

Specification

Model name
gemma-2-9b-it-abliterated
Publisher
IlyaGusev
Parameters
9B
Hardware class
4B – 10B — single consumer GPU
Licence
gemma
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, EXL2, AWQ, MLX, GGUF (imatrix)
First indexed
8 Jul 2024
Last updated
29 Aug 2026

Ablation technique

How gemma-2-9b-it-abliterated 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

Abliterated version of google/gemma-2-9b-it.

Running it

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

llama.cpp / GGUF
hf download bartowski/gemma-2-9b-it-abliterated-GGUF --local-dir ./gemma-2-9b-it-abliterated
llama-cli -m ./gemma-2-9b-it-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "IlyaGusev/gemma-2-9b-it-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve IlyaGusev/gemma-2-9b-it-abliterated --trust-remote-code

Downloads and variants (31)

Every published repository of gemma-2-9b-it-abliterated, including quantised re-releases by other authors.

RepositoryFormatDownloads
bartowski/gemma-2-9b-it-abliterated-GGUFGGUF8.5K
QuantFactory/gemma-2-9b-it-abliterated-GGUFGGUF542
IlyaGusev/gemma-2-9b-it-abliteratedsourceTransformers519
BasedAGI/Gemma-2-9B-IT-Abliterated-i1-GGUFGGUF (imatrix)198
KnutJaegersberg/gemma-2-9b-it-abliterated-Q8_0-GGUFGGUF116
NINI26454/gemma-2-9b-it-Abliterated-GGUFGGUF114
Bluerosesbutterfly/gemma-2-9b-it-abliterated-Q5_K_MGGUF106
Alex01837178373/gemma-2-9b-it-abliterated-Q4_K_M-GGUFGGUF101
pprp/gemma-2-9b-it-abliterated-Q4_K_M-GGUFGGUF99
jaahas/gemma-2-9b-it-abliterated-Q5_K_M-GGUFGGUF82
Emilio407/gemma-2-9b-it-abliterated-GGUFGGUF57
oskarraszkiewicz/gemma-2-9b-it-abliterated-mlx-2bitMLX53
SkyNotion/gemma-2-9b-it-abliterated-Q4_K_M-GGUFGGUF51
Bluerosesbutterfly/gemma-2-9b-it-abliterated-Q4_K_MGGUF45
solidrust/gemma-2-9b-it-abliterated-AWQAWQ38
tensorblock/gemma-2-9b-it-abliterated-GGUFGGUF31
Iambackup/gemma-2-9b-it-abliterated-GGUFGGUF27
flyfishstudio/gemma-2-9b-it-abliterated-Q4_0_4_8.ggufGGUF19
cgus/gemma-2-9b-it-abliterated-exl2EXL216
matrixportalx/gemma-2-9b-it-abliterated-Q4_0-GGUFGGUF16
Superoisesuki/gemma-2-9b-it-abliteratedTransformers11
TouchNight/gemma-2-9b-it-abliterated-4.0bpw-exl2EXL29
flyfishstudio/gemma-2-9b-it-abliterated-Q4_0_4_4.ggufGGUF9
NeoChen1024/gemma-2-9b-it-abliterated-exl2-6.0bpw-h8EXL26
THRAXAPP/gemma-2-9b-it-abliterated-AWQAWQ6
oskarraszkiewicz/gemma-2-9b-it-abliterated-mlx-4bitMLX4
Phrongo/gemma-2-9b-it-abliterated-Q4_K_M-GGUFGGUF4
AISafety-Student/gemma-2-9b-it-abliteratedTransformers3
oskarraszkiewicz/gemma-2-9b-it-abliterated-mlx-8bitMLX2
brezgis/gemma-2-9b-it-abliteratedTransformers2
Plus 1 further repository with fewer downloads, all counted in the totals above.

Security-team assessment

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

  • gemma-2-9b-it-abliterated 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 IlyaGusev/gemma-2-9b-it-abliterated, 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 gemma, but the terms that bind you are IlyaGusev/gemma-2-9b-it-abliterated’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 gemma-2-9b-it-abliterated is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with IlyaGusev, and does not independently verify publisher claims. See responsible use.