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ZwZ2-4B-Surgical-Abliterated

ZwZ2-4B-Surgical-Abliterated is a refusal-ablated variant of inclusionAI/ZwZ2-4B, published on Hugging Face by mradermacher. It is 4B parameters, single consumer GPU class and apache-2.0 licence. It is distributed across 4 repositories in GGUF and GGUF (imatrix) formats, totalling 5K downloads.

Abliteration (directional ablation)4BOther4B – 10B↓ 5,048

Specification

Model name
ZwZ2-4B-Surgical-Abliterated
Publisher
mradermacher
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
Unspecified
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, GGUF (imatrix)
First indexed
29 Oct 2026
Last updated
30 Oct 2026

Ablation technique

How ZwZ2-4B-Surgical-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

“For a convenient overview and download list, visit our model page for this model.”

Running it

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

llama.cpp / GGUF
hf download mradermacher/ZwZ2-4B-Surgical-Abliterated-i1-GGUF --local-dir ./zwz2-4b-surgical-abliterated
llama-cli -m ./zwz2-4b-surgical-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "mradermacher/ZwZ2-4B-Surgical-Abliterated-i1-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve mradermacher/ZwZ2-4B-Surgical-Abliterated-i1-GGUF --trust-remote-code

Downloads and variants (3)

Every published repository of ZwZ2-4B-Surgical-Abliterated, including quantised re-releases by other authors.

Security-team assessment

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

  • ZwZ2-4B-Surgical-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 inclusionAI/ZwZ2-4B, 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 inclusionAI/ZwZ2-4B’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 ZwZ2-4B-Surgical-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 mradermacher, and does not independently verify publisher claims. See responsible use.