abliteratedmodels.org

gemma-4-E4B-it-OBLITERATED

gemma-4-E4B-it-OBLITERATED is a abliterated and uncensored variant of google/gemma-4-E4B-it, published on Hugging Face by mdgazi786. It is apache-2.0 licence. It is distributed across 59 repositories in GGUF, Transformers, GGUF (imatrix) and MLX formats, totalling 54.8K downloads.

Abliteration + uncensored fine-tuneGemma54,799770

Specification

Model name
gemma-4-E4B-it-OBLITERATED
Publisher
mdgazi786
Parameters
Not determinable from name
Hardware class
Unknown
Licence
apache-2.0
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, Transformers, GGUF (imatrix), MLX, NVFP4
First indexed
15 Apr 2026
Last updated
28 Aug 2026

Ablation technique

How gemma-4-E4B-it-OBLITERATED was modified, and what that implies.

Abliteration + uncensored fine-tune

Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.

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

Coherence: Fully preserved — answers factual questions, writes code, poetry, and explanations correctly

Running it

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

llama.cpp / GGUF
hf download OBLITERATUS/gemma-4-E4B-it-OBLITERATED --local-dir ./gemma-4-e4b-it-obliterated
llama-cli -m ./gemma-4-e4b-it-obliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "mdgazi786/gemma-4-E4B-it-OBLITERATED"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve mdgazi786/gemma-4-E4B-it-OBLITERATED --trust-remote-code

Downloads and variants (58)

Every published repository of gemma-4-E4B-it-OBLITERATED, including quantised re-releases by other authors.

RepositoryFormatDownloads
OBLITERATUS/gemma-4-E4B-it-OBLITERATEDGGUF40.1K
mradermacher/gemma-4-E4B-it-OBLITERATED-i1-GGUFGGUF (imatrix)3.9K
mlx-community/gemma-4-E4B-it-OBLITERATED-mlx-8BitGGUF2.6K
rdhorner/gemma-4-E4B-it-OBLITERATED-GGUFGGUF935
mradermacher/gemma-4-E4B-it-OBLITERATED-GGUFGGUF805
Centara/gemma-4-E4B-it-OBLITERATED-Q4_K_M-GGUFGGUF686
hkvilson/gemma-4-E4B-it-OBLITERATEDGGUF599
Justbackup/gemma-4-E4B-it-OBLITERATEDGGUF555
Abiray/gemma-4-E4B-it-OBLITERATED-GGUFGGUF539
chuckb80/gemma-4-E4B-it-OBLITERATEDGGUF526
Deepdive404-3/gemma-4-E4B-it-OBLITERATEDGGUF392
mlx-community/gemma-4-E4B-it-OBLITERATED-mlx-fp16GGUF317
metaltiger775/gemma-4-E4B-it-OBLITERATED-ggufGGUF307
Centara/gemma-4-E4B-it-OBLITERATED-Q8_0-GGUFGGUF193
zaydiscold/gemma-4-E4B-it-OBLITERATED-MLX-4bitMLX172
HiddenKing/gemma-4-E4B-it-OBLITERATEDGGUF128
lemonchiklkkk/gemma-4-E4B-it-OBLITERATEDGGUF120
Immenselytired/gemma-4-E4B-it-OBLITERATEDGGUF106
danushman/gemma-4-E4B-it-OBLITERATED-Q4_K_M-GGUFGGUF104
BernTheCreator/Gemma-4-E4B-it-OBLITERATED-Q4_0-GGUFGGUF99
Deepdive404/gemma-4-E4B-it-OBLITERATEDGGUF90
Centara/gemma-4-E4B-it-OBLITERATED-Q3_K_L-GGUFGGUF83
DanielGvrcia/gemma-4-E4B-it-OBLITERATED-Q4_K_M-GGUFGGUF82
Centara/gemma-4-E4B-it-OBLITERATED-Q5_K_M-GGUFGGUF81
end000/gemma-4-E4B-it-OBLITERATED-Q4_K_M-GGUFGGUF78
RasputinKaiser/gemma-4-E4B-it-OBLITERATEDGGUF73
Centara/gemma-4-E4B-it-OBLITERATED-Q6_K-GGUFGGUF70
marshmallow626/gemma-4-E4B-it-OBLITERATEDGGUF65
mtr666/gemma-4-E4B-it-OBLITERATEDGGUF62
PhysShell/gemma-4-E4B-it-OBLITERATEDGGUF61
Plus 28 further repositories 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-4-E4B-it-OBLITERATED 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.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
  • Declared licence is apache-2.0, but the terms that bind you are google/gemma-4-E4B-it’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-4-E4B-it-OBLITERATED is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with mdgazi786, and does not independently verify publisher claims. See responsible use.