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Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking

Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking is a Heretic-ablated variant of DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme, published on Hugging Face by DavidAU. It is 4B parameters, single consumer GPU class and apache-2.0 licence. It is distributed across 4 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 5.9K downloads.

Heretic4BGemma4B – 10B↓ 5,877♥ 8
View on Hugging Face ↗Base model ↗

Specification

Model name
Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking
Source repository
DavidAU/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking
Base model
DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme
Publisher
DavidAU
Parameters
4B
VRAM required
~3.2 GB at Q4_K_M, 4k context (estimated) — runs on 4 GB cards
Hardware class
4B – 10B — single consumer GPU
Licence
apache-2.0
Task
Image text to text
Context window
128K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, GGUF (imatrix)
First indexed
2 Feb 2026
Last updated
24 Oct 2026

Ablation technique

How Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking was modified, and what that implies.

Heretic

Automated directional ablation via the Heretic toolchain, which searches for the refusal direction and applies it with a KL-divergence budget so general capability is preserved.

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

“Feb 16 2026: Upgraded Jinja Template with direct thinking logic to improve thinking activation.”

Running it

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

llama.cpp / GGUF
hf download mradermacher/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking-GGUF --local-dir ./gemma-3-4b-vl-it-gemini-pro-heretic-uncensored-thinking
llama-cli -m ./gemma-3-4b-vl-it-gemini-pro-heretic-uncensored-thinking/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "DavidAU/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve DavidAU/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking --trust-remote-code

Downloads and variants (3)

Every published repository of Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking, including quantised re-releases by other authors.

RepositoryFormatDownloads
mradermacher/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking-GGUFGGUF5K
mradermacher/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking-i1-GGUFGGUF (imatrix)805
DavidAU/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-ThinkingsourceTransformers94

Security-team assessment

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

  • Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking 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 DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme, not added by ablation — at 4B 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 apache-2.0, but the terms that bind you are DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-Extreme’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-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with DavidAU, and does not independently verify publisher claims. See responsible use.