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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 Edwinc08. It is apache-2.0 licence. It is distributed across 61 repositories in GGUF, Transformers, GGUF (imatrix) and MLX formats, totalling 73.2K downloads.

Abliteration + uncensored fine-tuneGemma↓ 73,156♥ 830

Specification

Model name
gemma-4-E4B-it-OBLITERATED
Publisher
Edwinc08
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
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
24 Oct 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 = "Edwinc08/gemma-4-E4B-it-OBLITERATED"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve Edwinc08/gemma-4-E4B-it-OBLITERATED --trust-remote-code

Downloads and variants (60)

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

RepositoryFormatDownloads
OBLITERATUS/gemma-4-E4B-it-OBLITERATEDGGUF45.2K
Aimeeluvssya/gemma-4-E4B-it-OBLITERATEDGGUF10.4K
mlx-community/gemma-4-E4B-it-OBLITERATED-mlx-8BitGGUF3.6K
mradermacher/gemma-4-E4B-it-OBLITERATED-GGUFGGUF3K
mradermacher/gemma-4-E4B-it-OBLITERATED-i1-GGUFGGUF (imatrix)2K
rdhorner/gemma-4-E4B-it-OBLITERATED-GGUFGGUF1.7K
Abiray/gemma-4-E4B-it-OBLITERATED-GGUFGGUF916
Kk181827/gemma-4-E4B-it-OBLITERATEDGGUF704
Centara/gemma-4-E4B-it-OBLITERATED-Q4_K_M-GGUFGGUF644
eadx/gemma-4-E4B-it-OBLITERATEDGGUF586
mlx-community/gemma-4-E4B-it-OBLITERATED-mlx-fp16GGUF371
Centara/gemma-4-E4B-it-OBLITERATED-Q8_0-GGUFGGUF319
Nemesispro/gemma-4-E4B-it-OBLITERATEDGGUF241
Centara/gemma-4-E4B-it-OBLITERATED-Q5_K_M-GGUFGGUF233
Deepdive404-3/gemma-4-E4B-it-OBLITERATEDGGUF214
minte1431/gemma-4-E4B-it-OBLITERATEDGGUF210
zaydiscold/gemma-4-E4B-it-OBLITERATED-MLX-4bitMLX171
metaltiger775/gemma-4-E4B-it-OBLITERATED-ggufGGUF163
Deepdive404/gemma-4-E4B-it-OBLITERATEDGGUF128
Jloc/gemma-4-E4B-it-OBLITERATEDGGUF124
Immenselytired/gemma-4-E4B-it-OBLITERATEDGGUF124
HiddenKing/gemma-4-E4B-it-OBLITERATEDGGUF122
soonway007/gemma-4-E4B-it-OBLITERATEDGGUF115
20q173/gemma-4-E4B-it-OBLITERATEDGGUF110
bigb88/gemma-4-E4B-it-OBLITERATEDGGUF109
uid0/gemma-4-E4B-it-OBLITERATED-Q4_K_M-GGUFGGUF108
Centara/gemma-4-E4B-it-OBLITERATED-Q6_K-GGUFGGUF106
mtr666/gemma-4-E4B-it-OBLITERATEDGGUF91
marshmallow626/gemma-4-E4B-it-OBLITERATEDGGUF78
chuckb80/gemma-4-E4B-it-OBLITERATEDGGUF76
Plus 30 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 Edwinc08, and does not independently verify publisher claims. See responsible use.