⌦abliteratedmodels.org

gemma-4-e2b-uncensored-litertlm

gemma-4-e2b-uncensored-litertlm is a abliterated and uncensored variant of prithivMLmods/gemma-4-E2B-it-Uncensored-MAX, published on Hugging Face by PeppX. It is apache-2.0 licence. It is distributed across 3 repositories in Transformers format, totalling 34.5K downloads.

Abliteration + uncensored fine-tuneGemma↓ 34,451♥ 31
View on Hugging Face ↗Base model ↗

Specification

Model name
gemma-4-e2b-uncensored-litertlm
Source repository
PeppX/gemma-4-e2b-uncensored-litertlm
Base model
prithivMLmods/gemma-4-E2B-it-Uncensored-MAX
Publisher
PeppX
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
apache-2.0
Task
Unspecified
Context window
32K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
Transformers
First indexed
20 May 2026
Last updated
8 Oct 2026

Ablation technique

How gemma-4-e2b-uncensored-litertlm 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

“On-device .litertlm conversion of prithivMLmods/gemma-4-E2B-it-Uncensored-MAX for the LiteRT-LM runtime. Runs completely offline on Android, Pixel, and Google Tensor / Mali-based devices.”

Running it

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

Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "PeppX/gemma-4-e2b-uncensored-litertlm"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve PeppX/gemma-4-e2b-uncensored-litertlm --trust-remote-code

Downloads and variants (2)

Every published repository of gemma-4-e2b-uncensored-litertlm, including quantised re-releases by other authors.

RepositoryFormatDownloads
PeppX/gemma-4-e2b-uncensored-litertlmsourceTransformers34.2K
vrxnell/gemma-4-e2b-uncensored-litertlmTransformers203

Security-team assessment

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

  • gemma-4-e2b-uncensored-litertlm 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 prithivMLmods/gemma-4-E2B-it-Uncensored-MAX’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-e2b-uncensored-litertlm is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with PeppX, and does not independently verify publisher claims. See responsible use.